Machine Learning Engineer, Trust & Safety

🏢 Summary: Machine Learning Engineer II role focused on designing, building, and deploying production-grade machine learning models that improve core product experiences and drive measurable business impact. The position emphasizes modeling, experimentation, and close collaboration with cross-functional teams to bring scalable ML solutions into high-traffic user flows. This is an individual contributor role centered on algorithmic innovation and end-to-end ML lifecycle ownership. 🗂️ Requirements: BS or MS in Computer Science, Machine Learning, Statistics, Mathematics, or related field, 2+ years of industry experience in machine learning, software engineering, data science, or related field, Strong knowledge of data structures, algorithms, and software design, Experience building or operating ML or AI systems, Proficiency in Python, Proficiency in at least one of: Java, Kotlin, Go, Scala, Strong understanding of model training, evaluation, and experimentation, Ability to design and analyze offline evaluations and online experiments, Experience writing production-quality code 📃 Skills: Python, Java, Kotlin, Go, Scala, Spark, Flink, AWS, Kubernetes, TensorFlow, TorchServe, Triton, Ray, Airflow, CI/CD, MLOps 🏢 Description: Our Mission As humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive—and rapidly growing. We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more. Our Values Take the Lead: We don't ghost our work or each other. Just as users don't leave their matches hanging, we don't let each other down. Move Fast: We have a bias for action and urgency. Something that could be done tomorrow would be better if done today. Better Together: We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate. Real Talk: We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect Team Tinder to do the same. Safety First: We act with integrity, transparency, and consistency so people feel safe—whether they're swiping, matching, or working alongside us. Spark Fun: We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters. The Team or Role: The Tinder ML team drives impact across nearly every core domain of the product — Recommendations, Trust & Safety, Profile, Chat, Growth, and Revenue optimization. Our mission is to apply machine learning to enhance user experiences, foster trust, and accelerate business growth across Tinder’s ecosystem. ML at Tinder is organized into three groups with distinct roles: Machine Learning Engineers who focus on modeling and algorithmic innovation (this role) Machine Learning Infrastructure Engineers who build the platforms and tools that enable scalable training, serving, and feature management Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role We are looking for a Machine Learning Engineer II to help build and ship machine learning systems that improve product experience and drive measurable business impact. This role is ideal for an engineer with a strong foundation in machine learning and software engineering who is excited to work on real-world problems, partner cross-functionally, and grow quickly in a high-impact environment. This is an individual contributor role focused on modeling and algorithmic innovation. You will work closely with product, engineering, data, and platform partners to translate product opportunities into machine learning solutions, run experiments, and help bring models from development into production. The team’s work directly translates into measurable business outcomes, and many of its models are embedded in core Tinder user flows at scale. Where You'll Work: This is a hybrid role and requires in-office collaboration three times per week in Palo Alto, California. In this role, you will: Translate product and business problems into clear machine learning problems with measurable success criteria Build, train, evaluate, and improve production machine learning models Partner with software engineers and ML infrastructure engineers to deploy models and improve reliability, scalability, and performance in production Design and analyze offline evaluations and online experiments to understand model impact Contribute to feature engineering, data preparation, training pipelines, and model monitoring Write clean, maintainable, production-quality code and participate in design and code reviews Communicate technical findings, trade-offs, and recommendations clearly to both technical and non-technical partners You'll need: BS or MS in Computer Science, Machine Learning, Statistics, Mathematics, or a related technical field 2+ years of industry experience in machine learning, software engineering, data science, or a related field Strong foundation in computer science fundamentals, including data structures, algorithms, and software design Experience building ML or AI-related systems, or strong understanding of how modern machine learning systems are developed and operated Proficiency in Python and at least one additional programming language such as Java, Kotlin, Go, Scala, or a similar language Strong understanding of machine learning fundamentals, including model training, evaluation, and experimentation Strong communication skills and the ability to collaborate effectively across functions Self-motivated, proactive, and comfortable taking ownership of well-scoped problems Nice to have: Experience with recommendation systems or casual inference Familiarity with big data or stream processing frameworks such as Spark or Flink Familiarity with cloud platforms such as AWS and containerized environments such as Kubernetes Familiarity with ML model serving frameworks such as TensorFlow Serving, TorchServe, Triton Inference Server, or Ray Serve Experience with feature stores, ML data pipelines, and orchestration frameworks such as Airflow Understanding of MLOps practices including CI/CD for ML, model versioning, and automated evaluation Exposure to observability and monitoring for ML systems Exposure to LLM-related use cases or applied generative AI projects As a full-time employee, you’ll enjoy: Flexible Vacation, 10 Sick Days Time off to volunteer and charitable donations matched up to $15,000 annually Comprehensive health, vision, and dental coverage 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP) 100% paid parental leave (including for non-birthing parents) and family forming benefits Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual $3,000 stipend for your professional development Investment in your wellness: access to mental health support via Modern Health, paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy Free subscription to Tinder Gold Commitment to Inclusion At Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: https://www.lifeattinder.com/dei

🏢 Summary: Staff/Principal-level Founding Full Stack Engineer role focused on building AI-powered dating experiences from zero-to-one within an internal incubation team. The position involves owning end-to-end product development across frontend, backend, AI systems, infrastructure, analytics, and experimentation while collaborating closely with product and design teams. Candidates should have strong full-stack engineering expertise, experience shipping consumer products, and hands-on experience building AI-powered applications. 🗂️ Requirements: 8+ years of software engineering experience, Experience operating at Staff, Principal, founding engineer, or technical lead level, Experience building and shipping consumer products, Strong full-stack engineering expertise, Experience with backend systems and cloud infrastructure, Experience with mobile development, Experience building AI-powered products, Knowledge of reliability, privacy, security, observability, and scalability, Ability to work in fast-moving zero-to-one environments, Strong communication and cross-functional collaboration skills 📃 Skills: ReactNative, Swift, Kotlin, Flutter, AI, ML, Backend, Frontend, Cloud, Analytics, Observability, Security, Infrastructure, Experimentation, Mobile 🏢 Description: Know where you belong! When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week. At Match Group, our mission is to spark meaningful connections for every single person worldwide. Across our portfolio of trusted brands, we help millions of people discover, connect, date, and build relationships in ways that reflect their identities, intentions, cultures, and communities. We work together to solve complex problems at the intersection of human connection, behavioral science, network economics, AI and ML, safety, privacy, cultural nuance, loneliness, love, sex, and relationships. As the world’s leading portfolio of dating products, Match Group has a unique opportunity to imagine what comes next for dating — including how emerging technologies can help people feel more understood, more intentional, and more confident as they connect. The Team Match Group is building an internal incubation focused on AI-powered dating experiences to redefine the category. Dating is a deeply human experience, but many of today’s products were built before AI could understand context, intent, nuance, and feedback at scale. We believe there is an opportunity to rethink parts of the dating experience from first principles, combining strong consumer product craft with AI-native systems that help people connect with more confidence, clarity, and trust. This team will operate like a small startup inside Match Group. We are moving from product hypothesis to prototype to pilot, with the goal of learning quickly from real users and identifying whether there is a new product opportunity that can scale. The Role We’re looking for a Founding Full Stack Engineer, AI Incubation to be the technical owner for this initiative. This is a hands-on, high-ownership role for a Staff/Principal-level engineering leader who can build quickly, make strong technical decisions, and help turn an early product thesis into a working product. You’ll work directly on the core experiences users rely on to discover, evaluate, and build meaningful connections. You’ll identify where today’s dating experiences create friction, ambiguity, or low-quality outcomes, and rethink how AI can help create a more useful, trusted, and personalized experience. You should be excited by zero-to-one product building: taking an ambiguous opportunity, defining the fastest path to learning, building the first version, putting it in front of users, and iterating based on real behavior. How you’ll make an impact - Build end-to-end product experiences that span frontend applications, backend services, agent workflows, cloud infrastructure, integrations, and internal tooling. - Design AI-powered systems that help the product understand user intent, reason about compatibility, personalize recommendations, and improve through feedback over time. - Partner closely with product, design, and research to rapidly translate insights into prototypes, pilots, and production-ready features. - Use frontier AI tools and modern engineering workflows to compress the path from idea to working product, while maintaining strong technical judgment around reliability, privacy, and scale. - Instrument the product with analytics, event tracking, dashboards, and experimentation tools so the team can evaluate engagement, retention, quality, and product-market signal. - Improve the reliability, observability, scalability, and performance of the systems and workflows you build. - Define the early system architecture and technical roadmap, and serve as a strategic technical thought partner to Match Group leadership. We could be a match if you: - 8+ years of software engineering experience, including experience operating at Staff, Principal, founding engineer, technical lead, or equivalent level. - A track record of building and shipping consumer products in fast-moving environments, ideally across zero-to-one, early-stage, or startup contexts. - Deep full-stack technical range, with the ability to move independently across product surfaces, backend systems, data architecture, infrastructure, and production operations. - Experience with mobile development using React Native, Swift, Kotlin, Flutter, or similar technologies. - Experience working with modern AI development workflows and practical experience building AI-powered products used by real users. - High technical judgment around reliability, privacy, security, observability, maintainability, and scale. - Clear communication skills and the ability to serve as a trusted technical partner to product, design, research, engineering, and senior leadership. - Strong ownership mindset, with the ability to operate without a large team, detailed specs, or fixed roadmap. - High judgment around consumer trust, identity, privacy, and emotionally personal user experiences. Nice to have: - Experience in dating, social discovery, consumer social, messaging, marketplaces, creator platforms, gaming, community products, or subscription-based consumer products. - Experience building AI-native consumer products or AI-powered features used by real users. - Experience with recommendation systems, ranking systems, personalization, matching, marketplace liquidity, network effects, or consumer discovery systems. - Prior experience as a founder, founding engineer, early startup employee, or zero-to-one product builder. Our Values - Take the Lead: We don't ghost our work or each other. - Move Fast: We have a bias for action and urgency. - Better Together: We keep connection at the heart of dating and at the heart of how we work. - Real Talk: We say the hard thing the human way. - Safety First: We act with integrity, transparency, and consistency so people feel safe. - Spark Fun: We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters. Why Match Group? - Mind & Body – Medical, mental health, and wellness benefits to support your overall health and well-being. - Financial Wellness – Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program. - Unplug – Generous PTO and 14 paid holidays. - Career – Annual training allowance for professional development and ERG membership opportunities and events. - Family – 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts. - Company Gatherings – Company events to build connection and belonging. We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company.

🏢 Summary: Staff/Principal-level Founding Full Stack Engineer role focused on building AI-powered dating experiences from zero-to-one within an internal incubation team. The position involves owning end-to-end product development across frontend, backend, AI systems, infrastructure, analytics, and mobile technologies while rapidly prototyping and scaling consumer-facing products. 🗂️ Requirements: 8+ years of software engineering experience, Staff, Principal, founding engineer, or technical lead experience, Experience building and shipping consumer products, Full-stack engineering expertise, Experience with backend systems and cloud infrastructure, Experience with mobile development, Experience building AI-powered products, Knowledge of reliability, privacy, security, and scalability, Ability to work in fast-moving zero-to-one environments, Strong communication and cross-functional collaboration skills 📃 Skills: React, ReactNative, Swift, Kotlin, Flutter, AI, ML, Cloud, Backend, Frontend, Analytics, Infrastructure, Observability, Security, Privacy, Mobile 🏢 Description: Know where you belong! Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Hinge, Match, Meetic, PlentyOfFish, OkCupid, The League, HER, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn’t stop at our products - it’s the foundation of every team we hire. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week. At Match Group, our mission is to spark meaningful connections for every single person worldwide. Across our portfolio of trusted brands, we help millions of people discover, connect, date, and build relationships in ways that reflect their identities, intentions, cultures, and communities. We work together to solve complex problems at the intersection of human connection, behavioral science, network economics, AI and ML, safety, privacy, cultural nuance, loneliness, love, sex, and relationships. As the world’s leading portfolio of dating products, Match Group has a unique opportunity to imagine what comes next for dating — including how emerging technologies can help people feel more understood, more intentional, and more confident as they connect. The Team Match Group is building an internal incubation focused on AI-powered dating experiences to redefine the category. Dating is a deeply human experience, but many of today’s products were built before AI could understand context, intent, nuance, and feedback at scale. We believe there is an opportunity to rethink parts of the dating experience from first principles, combining strong consumer product craft with AI-native systems that help people connect with more confidence, clarity, and trust. This team will operate like a small startup inside Match Group. We are moving from product hypothesis to prototype to pilot, with the goal of learning quickly from real users and identifying whether there is a new product opportunity that can scale. The Role We’re looking for a Founding Full Stack Engineer, AI Incubation to be the technical owner for this initiative. This is a hands-on, high-ownership role for a Staff/Principal-level engineering leader who can build quickly, make strong technical decisions, and help turn an early product thesis into a working product. You’ll work directly on the core experiences users rely on to discover, evaluate, and build meaningful connections. You’ll identify where today’s dating experiences create friction, ambiguity, or low-quality outcomes, and rethink how AI can help create a more useful, trusted, and personalized experience. You should be excited by zero-to-one product building: taking an ambiguous opportunity, defining the fastest path to learning, building the first version, putting it in front of users, and iterating based on real behavior. How you’ll make an impact - Build end-to-end product experiences that span frontend applications, backend services, agent workflows, cloud infrastructure, integrations, and internal tooling. - Design AI-powered systems that help the product understand user intent, reason about compatibility, personalize recommendations, and improve through feedback over time. - Partner closely with product, design, and research to rapidly translate insights into prototypes, pilots, and production-ready features. - Use frontier AI tools and modern engineering workflows to compress the path from idea to working product, while maintaining strong technical judgment around reliability, privacy, and scale. - Instrument the product with analytics, event tracking, dashboards, and experimentation tools so the team can evaluate engagement, retention, quality, and product-market signal. - Improve the reliability, observability, scalability, and performance of the systems and workflows you build. - Define the early system architecture and technical roadmap, and serve as a strategic technical thought partner to Match Group leadership. We could be a match if you: - 8+ years of software engineering experience, including experience operating at Staff, Principal, founding engineer, technical lead, or equivalent level. - A track record of building and shipping consumer products in fast-moving environments, ideally across zero-to-one, early-stage, or startup contexts. - Deep full-stack technical range, with the ability to move independently across product surfaces, backend systems, data architecture, infrastructure, and production operations. - Experience with mobile development using React Native, Swift, Kotlin, Flutter, or similar technologies. - Experience working with modern AI development workflows and practical experience building AI-powered products used by real users. - High technical judgment around reliability, privacy, security, observability, maintainability, and scale. - Clear communication skills and the ability to serve as a trusted technical partner to product, design, research, engineering, and senior leadership. - Strong ownership mindset, with the ability to operate without a large team, detailed specs, or fixed roadmap. - High judgment around consumer trust, identity, privacy, and emotionally personal user experiences. Nice to have: - Experience in dating, social discovery, consumer social, messaging, marketplaces, creator platforms, gaming, community products, or subscription-based consumer products. - Experience building AI-native consumer products or AI-powered features used by real users. - Experience with recommendation systems, ranking systems, personalization, matching, marketplace liquidity, network effects, or consumer discovery systems. - Prior experience as a founder, founding engineer, early startup employee, or zero-to-one product builder. Our Values - Take the Lead: We don't ghost our work or each other. - Move Fast: We have a bias for action and urgency. - Better Together: We keep connection at the heart of dating and at the heart of how we work. - Real Talk: We say the hard thing the human way. - Safety First: We act with integrity, transparency, and consistency so people feel safe. - Spark Fun: We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters. Why Match Group? - Mind & Body – Medical, mental health, and wellness benefits to support your overall health and well-being. - Financial Wellness – Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program. - Unplug – Generous PTO and 14 paid holidays. - Career – Annual training allowance for professional development and ERG membership opportunities and events. - Family – 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts. - Company Gatherings – Company events to build connection and belonging. We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company.

🏢 Summary: Hybrid Android Engineer role focused on building and integrating AI-powered tools and agentic workflows to improve developer productivity and accelerate delivery of mobile features. The position combines native Android development with applied AI to design, automate, and optimize engineering processes. You will drive adoption of AI-native practices and measure their impact on velocity and quality. 🗂️ Requirements: 2+ years professional experience in native Android development, Strong proficiency in Kotlin, Deep understanding of large Android codebases and developer workflows, Experience with Android build systems and Gradle, Experience with CI/CD pipelines, Daily hands-on use of AI-native development tools, Experience with agentic coding workflows for code generation and refactoring, Experience building developer tools and automation scripts, Ability to measure engineering velocity and quality metrics 📃 Skills: Android, Kotlin, Gradle, CI/CD, Python, Bash, Claude, Codex, Cursor, LLM, OpenAI, Anthropic 🏢 Description: Our Mission Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”™ Our Values One Team, One Dream We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission. Own It We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence. Never Stop Learning We cultivate a culture where it’s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. Spark Solutions We’re problem solvers, focusing on how to best move forward when faced with obstacles. We don’t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals. Embrace Our Differences We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team.The Team or Role: We focus on AI × Developer Productivity and Workflow & Agents, building the culture, systems, and tools that let teams design, prototype, build, and ship connection experiences at record speed. As an Android engineer with an Applied AI focus, you'll sit at the intersection of mobile engineering and AI-assisted development, helping the team ship faster while raising the bar on how we build software. Where You'll Work: This is a hybrid role and requires in-office collaboration three times per week in Palo Alto, San Francisco, or Los Angeles, CA. In this role, you will: Build and maintain AI-powered Android tools and 24/7 agents that boost velocity and quality. Evaluate, integrate, and customize AI-native development tools for Tinder’s Android codebase and workflows. Develop prompts, templates, and agentic workflows aligned with Tinder’s architecture and coding standards. Measure and report AI tooling impact across the Android guild using clear velocity and quality metrics. Partner with engineers across teams to identify pain points and build tooling that removes friction. Drive guild-wide adoption of AI-native practices through documentation, workshops, pairing, and onboarding. You'll need: Relentless curiosity about how things work today and a drive to make them better. 2+ years of professional experience building native Android applications. Solid Android development experience in Kotlin with a deep understanding of large codebases and developer workflows. Strong experience with Android build systems, Gradle, and CI/CD pipelines. Demonstrated daily use of AI-native development tools (e.g., Claude, Codex, Cursor or similar). Hands-on experience with agentic coding workflows for code generation, refactoring, tests, migrations, and code review at scale. Experience building developer tools and automation (Python, Bash, Gradle plugins, custom lint rules, or similar). Systems-thinking mindset, able to see workflows end-to-end and spot high-leverage automation opportunities. Strong communication skills to evangelize new tools and practices, write clear documentation, and build buy-in across the guild. Collaborative and open to feedback, with empathy for other engineers’ workflows and pain points. Nice to have: Experience with prompt engineering and fine-tuning AI tools for domain-specific codebases Experience building custom MCP servers, IDE plugins, or developer experience tooling Familiarity with LLM APIs (OpenAI, Anthropic, etc.) for building custom AI-powered developer tools Background in developer experience, developer productivity, or platform engineering Experience measuring and improving engineering velocity metrics Commitment to Inclusion At Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: https://www.lifeattinder.com/dei If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly. #Tinder

🏢 Summary: Senior Research Engineer role focused on designing, evaluating, and deploying production-grade machine learning models for search, ranking, and ads at scale. The position combines applied ML research with end-to-end ownership of solutions, from data exploration to production deployment. It involves translating state-of-the-art research into business impact while mentoring others and collaborating on large-scale systems. 🗂️ Requirements: Master’s or PhD in Machine Learning, Computer Science, Mathematics, Statistics or related STEM field, Strong knowledge of deep learning techniques, Experience in at least one domain: Information Retrieval or Natural Language Processing, Ability to conduct scientific research and iterative experimentation, Experience working with complex, real-world datasets, Proficiency in Python for ML development, Experience with ML frameworks such as PyTorch or TensorFlow 📃 Skills: Python, PyTorch, TensorFlow, Transformers, Pandas, NumPy, DeepLearning, NeuralNetworks, ContrastiveLearning, SemiSupervisedLearning, InformationRetrieval, NLP, Kubernetes, Docker, GitHub, GitHubActions, GCP, AWS, Azure, LLMs 🏢 Description: In the Learning to Rank team we develop machine learning models for search, ranking and ads. Our models serve millions of searches a day. We develop and apply state-of-the-art machine learning methods, helping Allegro grow and innovate with artificial intelligence. Beyond bringing AI to production, we are committed to advance the understanding of machine learning through open collaboration with the scientific community. About the role: As a Senior Research Engineer, you will work at the intersection of cutting-edge machine learning research and real-world products used at scale. You’ll take ownership of ML solutions end to end - from exploring complex data and selecting the right methods, to rigorous evaluation and production deployment. This role is for someone who enjoys navigating uncertainty, keeping pace with a fast-moving ML landscape, and turning research insights into tangible business impact, while also shaping ML expertise within the team and beyond. In your daily work you will handle the following tasks End-to-end ML ownership: Design and deliver production-ready machine learning solutions for Allegro products Data exploration: Analyze and understand complex data sets, identifying relevant data sources for ML use cases Model development & evaluation: Train, evaluate, and experiment with applied ML models using reliable evaluation methods Applied ML research: Translate state-of-the-art ML research into practical improvements for real-world solutions Tooling & methodology: Select ML tools and techniques that best fit concrete business needs Production collaboration: Work closely with cross-functional teams to deploy ML solutions into production Knowledge sharing: Spread ML expertise through internal sessions, presentations, and research activities Mentorship & expertise: Support junior team members and act as a trusted ML expert within the organization We are looking for people who Have a master's or PhD in machine learning, mathematics, computer science, statistics or other STEM fields Have a good knowledge of deep learning techniques (neural networks, contrastive learning, semi-supervised learning) in at least one domain (information retrieval, natural language generation or understanding, etc.) Know the methodology of conducting scientific research and the use of iterative processes of conducting experiments Have experience in working with real data that deviate from the standard, well-developed collections used in research Know Python and libraries necessary to work with model development (PyTorch, Tensorflow, Transformers, Pandas, Numpy, etc.) Nice-to-have: Understanding of Information Retrieval (IR) area Published research papers in ML-related topics Experience in business cooperation, deployments of ML-based solutions in commercial environments Prior experience in running large-scale computation on cloud platform (GCP, AWS or Azure) Prior experience in using LLMs for synthetic data generation/solving business problems What's in it for you Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work. Long term discretionary incentive plan based on Allegro.eu shares (restricted stock units). Annual bonus based on your annual performance and company results. Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms). A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories. A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers). English classes that we pay for related to the specific nature of your job. A training budget, inter-team tourism ( see more here ), hackathons, and an internal learning platform where you will find multiple trainings. An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal. Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy. And that's just the beginning! You can read more about the benefits here . #goodtobehere means that: You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA. You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create. You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job. You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support). You will create solutions that will be used (and loved!) by your friends, family and millions of our customers. You will meet the Allegro Scale , which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning. You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about! Send us your CV and… see you at Allegro!

🏢 Summary: Senior Research Engineer role focused on designing, developing, and deploying production-ready machine learning models for search, ranking, and ads at scale. The position involves end-to-end ML ownership, from data exploration and experimentation to evaluation and production deployment, while translating state-of-the-art research into business impact. The role combines applied ML research with large-scale production collaboration. 🗂️ Requirements: Master’s or PhD in Machine Learning, Mathematics, Computer Science, Statistics, or related STEM field, Strong knowledge of deep learning techniques, Experience in at least one domain: Information Retrieval or Natural Language Processing, Ability to design and conduct scientific experiments using iterative methodologies, Experience working with complex, real-world datasets, Proficiency in Python, Experience with ML model development libraries (PyTorch or TensorFlow) 📃 Skills: Python, PyTorch, TensorFlow, Transformers, Pandas, NumPy, DeepLearning, NeuralNetworks, ContrastiveLearning, SemiSupervisedLearning, InformationRetrieval, NLP, LLMs, GCP, AWS, Azure, Kubernetes, Docker, Consul, GitHub, GitHubActions 🏢 Description: In the Learning to Rank team we develop machine learning models for search, ranking and ads. Our models serve millions of searches a day. We develop and apply state-of-the-art machine learning methods, helping Allegro grow and innovate with artificial intelligence. Beyond bringing AI to production, we are committed to advance the understanding of machine learning through open collaboration with the scientific community. About the role: As a Senior Research Engineer, you will work at the intersection of cutting-edge machine learning research and real-world products used at scale. You’ll take ownership of ML solutions end to end - from exploring complex data and selecting the right methods, to rigorous evaluation and production deployment. This role is for someone who enjoys navigating uncertainty, keeping pace with a fast-moving ML landscape, and turning research insights into tangible business impact, while also shaping ML expertise within the team and beyond. In your daily work you will handle the following tasks End-to-end ML ownership: Design and deliver production-ready machine learning solutions for Allegro products Data exploration: Analyze and understand complex data sets, identifying relevant data sources for ML use cases Model development & evaluation: Train, evaluate, and experiment with applied ML models using reliable evaluation methods Applied ML research: Translate state-of-the-art ML research into practical improvements for real-world solutions Tooling & methodology: Select ML tools and techniques that best fit concrete business needs Production collaboration: Work closely with cross-functional teams to deploy ML solutions into production Knowledge sharing: Spread ML expertise through internal sessions, presentations, and research activities Mentorship & expertise: Support junior team members and act as a trusted ML expert within the organization We are looking for people who Have a master's or PhD in machine learning, mathematics, computer science, statistics or other STEM fields Have a good knowledge of deep learning techniques (neural networks, contrastive learning, semi-supervised learning) in at least one domain (information retrieval, natural language generation or understanding, etc.) Know the methodology of conducting scientific research and the use of iterative processes of conducting experiments Have experience in working with real data that deviate from the standard, well-developed collections used in research Know Python and libraries necessary to work with model development (PyTorch, Tensorflow, Transformers, Pandas, Numpy, etc.) Nice-to-have: Understanding of Information Retrieval (IR) area Published research papers in ML-related topics Experience in business cooperation, deployments of ML-based solutions in commercial environments Prior experience in running large-scale computation on cloud platform (GCP, AWS or Azure) Prior experience in using LLMs for synthetic data generation/solving business problems What's in it for you Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work. Long term discretionary incentive plan based on Allegro.eu shares (restricted stock units). Annual bonus based on your annual performance and company results. Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms). A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories. A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers). English classes that we pay for related to the specific nature of your job. A training budget, inter-team tourism ( see more here ), hackathons, and an internal learning platform where you will find multiple trainings. An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal. Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy. And that's just the beginning! You can read more about the benefits here . #goodtobehere means that: You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA. You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create. You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job. You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support). You will create solutions that will be used (and loved!) by your friends, family and millions of our customers. You will meet the Allegro Scale , which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning. You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about! Send us your CV and… see you at Allegro!

🏢 Summary: Hands-on Migration Test Lead role within a large-scale financial services data transformation programme, responsible for end-to-end data migration testing from legacy to modern systems. The position focuses on defining and executing migration test strategy, validating data mappings, overseeing ETL and reconciliation testing, and ensuring data quality and regulatory compliance. The role involves close stakeholder collaboration and ownership of defect management through to go-live. 🗂️ Requirements: Proven experience as Migration Test Lead or Manager in Financial Services, Strong experience in data migration testing in Banking, Wealth, or Asset Management, Hands-on experience with data mapping specifications and transformation logic, Experience with ETL testing and source-to-target reconciliation, Strong understanding of data modelling and data structures, Experience with data quality controls and validation techniques, Experience handling sensitive financial data and data masking, Experience using defect management tools such as JIRA or ALM, Ability to define migration test strategy and manage full test lifecycle 📃 Skills: ETL, SQL, JIRA, ALM, Avaloq, Banking, Wealth, AssetManagement, DataMigration, DataModelling, Reconciliation, DataMasking, Agile 🏢 Description: Migration Test Lead / Migration Test Manager- (Financial Services) London- (Hybrid) x4 Days on-site £600-£650 emagine is a high-end professional services consultancy and solutions firm Specialising in providing business and technology services to the financial services sector, we power progress, solve challenges and deliver real results through tailored high-end consulting services and solutions. We have created a culture of openness and integrity by building genuine and strong relationships and partnerships, enabling us to be uncompromising in our dedication in delivering the optimal service for our clients. Our commitment is not just towards our clients but we aim to foster a positive and equitable working environment with our consultants and colleagues which stems from our core values: Confident, Dedicated, Responsible, Genuine. We are seeking an experienced and hands-on Migration Test Lead to join a large-scale systems and data transformation programme. This role is critical to the successful migration of complex, high-value data from legacy platforms into modern target systems, ensuring data accuracy, integrity, completeness, and regulatory compliance throughout the migration lifecycle. The Migration Test Lead will own and drive the data migration testing workstream end to end. This includes defining the migration test strategy, validating detailed data mapping specifications, executing ETL and reconciliation testing, and providing clear, decisive reporting to senior stakeholders. This role requires someone who is comfortable working with ambiguity, able to initiate testing activities before mapping is fully finalised, and confident challenging assumptions and decisions to protect data quality and programme outcomes. The role: Migration Testing Leadership Lead and coordinate all data migration testing, ensuring thorough validation of source-to-target movement. Own the migration test strategy, scope, approach, and entry/exit criteria aligned to programme milestones. Drive testing across multiple cycles, including mock runs, dress rehearsals, cutover, and post-migration validation. Data Validation & Mapping Develop, review, and execute test scripts to validate data accuracy, completeness, format, and reconciliation. Collaborate with data, architecture, and delivery teams to interpret and challenge mappings, transformation rules, and object models. Resolve ambiguities in mapping specifications and document assumptions. Validate historical and aged legacy data, including complex multi-year datasets. ETL & Reconciliation Testing Oversee ETL testing to ensure correct extraction, transformation, and loading of data into target systems. Perform detailed reconciliation between source and target systems using business rules and quality thresholds. Validate data masking and anonymisation for test environments as required. Stakeholder Management & Reporting Act as primary contact for migration testing, liaising with senior stakeholders, programme leadership, and delivery partners. Provide concise reporting on progress, risks, issues, and decisions required. Manage challenging conversations, escalate risks, and safeguard data quality and timelines. Collaborate with business users, developers, and data teams to resolve issues efficiently. Defect & Quality Management Lead defect identification, triage, prioritisation, and resolution throughout testing. Ensure defects are clearly documented, tracked, and resolved using standard tools (e.g., JIRA, ALM). Support readiness assessments, go-live sign-off, and post-migration assurance. Key Skills and Experience: To succeed in this role you will need: Proven experience as a Migration Test Lead/Manager in Financial Services. Strong background in data migration testing within Banking, Wealth, or Asset Management platforms. Hands-on experience with migration mapping specifications, transformation logic, and reconciliation rules. Solid understanding of data modelling, object models, and data structures. Skilled at working with incomplete or evolving requirements. Strong knowledge of ETL processes, data validation, and data quality controls. Experience with data masking and handling sensitive financial data. Excellent communicator and confident stakeholder manager. Highly organised, delivery-focused, and accountable for outcomes. Desirable Experience with core banking or wealth platforms (e.g., Avaloq). Exposure to legacy systems with large historical datasets. Familiarity with migration tooling, reconciliation frameworks, or data quality tools. Agile or hybrid delivery experience. Experience coordinating multi-vendor or collaborative migration testing Our people The ideal consultants will share our values and be aligned with our ways of working and as your career progresses, you can expect to work across all areas of the project lifecycle, from strategy to implementation. This will provide you with a broad base of experience from which to build an outstanding career. The ideal consultants will share our values and be aligned with our ways of working and as your career progresses, you can expect to work across all areas of the project lifecycle. We pride ourselves on; Providing our people with a supportive culture, rooted in our values and driven by our purpose. Promoting a culture of inclusion, collaboration, well-being, and learning and development. Providing increased agility and flexibility within our hybrid working model Investing in employees’ growth through ongoing training and development Autonomy to take ownership of projects, making decisions and demonstrating individual expertise Providing an transparent performance and career management experience. Our consultants are integral to delivering successful consulting engagements, addressing our clients’ most pressing business challenges, and build lasting value in disciplines such as: Solve sophisticated, ambiguous business, change and technology problems, bringing structure and meticulous analysis and planning, acting, and taking decisions with little strategic direction Build, develop and sustain trusted senior client relationships in the C-suite by remaining highly attuned to client needs Drive, enable and support the business, partnering with our leaders, clients, and consultants across our practices to take the best of emagine to our clients through opportunity identification/qualification, solution development/presentation Interested? At emagine, we are committed to building an international and diverse team by embracing our different backgrounds. If you are up to the challenge and would like to find out more, get in touch with us immediately, our internal recruitment team is always keen to hear from dynamic individuals that are looking to further their career and explore their full potential. “emagine is an equal opportunity employer, and employment practices are based strictly on merit. It is the policy of the Company to give equal opportunity in employment regardless of sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion or ethnic origin”

🏢 Summary: The role is for a technically strong software engineer with hands-on AI and LLM experience who actively integrates AI coding tools and agentic workflows into the full software development lifecycle. The position focuses on designing, building, and shipping production-grade systems while leveraging prompt engineering and AI automation to improve quality and speed. The engineer is expected to take ownership of production outcomes and continuously evaluate and adopt emerging AI technologies. 🗂️ Requirements: Solid experience in backend, frontend, or full-stack development, Proficiency in at least one modern programming language and framework, Experience working with APIs, distributed systems, and integrations, Strong knowledge of testing practices and software design principles, Hands-on experience using AI coding tools in real development projects, Practical understanding of LLM behavior, limitations, and trade-offs, Experience with prompt engineering for reliable AI output, Familiarity with AI agents and workflow automation, Understanding of LLM constraints such as context windows, token costs, and latency 📃 Skills: AI, LLM, Prompting, Agents, APIs, DistributedSystems, Testing, Automation, Backend, Frontend, FullStack 🏢 Description: At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.ABOUT NICE NiCE is a global leader in cloud platforms for customer experience and contact center technology, serving over 25,000 organizations worldwide. We help businesses deliver smarter, faster, and more human interactions — at scale. Our engineering teams are at the center of that mission, building the products and platforms that transform how companies engage with their customers. THE ROLE We're looking for a technically strong engineer who is genuinely excited about AI — not because it's a trend, but because they've already been using it to do better work and they want to go further. This person doesn't wait for training programs or permission to level up. They experiment on their own, stay ahead of what's available, and bring what they learn back to the team. You have real engineering depth — you know how to design systems, write code that holds up in production, and solve hard problems. You also have real AI experience: you've worked with LLMs and AI tools in ways that go beyond surface-level prompting. You understand the trade-offs, you've seen where these tools break down, and you've figured out how to get the most out of them anyway. What sets you apart is the hunger. You're the kind of engineer who reads the release notes, follows what's shipping in the AI space, and finds ways to apply it before anyone asks you to. You want to be at the front of where this is going — and you're willing to put in the work to get there. WHAT YOU'LL DO Design, build, test, and ship software across the full development lifecycle Use AI coding tools and Agentic AI Workflows actively in your day-to-day work — for code generation, review, testing, debugging, and documentation Write clean, well-structured, Code and/or specification docs, leveraging AI as a partner, and also take responsibility for its quality in production. Take responsibility for its quality in production Collaborate with product managers, designers, and other engineers to understand requirements and deliver working solutions Apply prompt engineering and Agentic coding techniques to accelerate your work and improve output consistency Participate in code reviews, technical discussions, and team planning Evaluate and adopt new AI tools and approaches as the landscape evolves Contribute to shared engineering standards and help raise the bar for how the team uses AI WHAT WE'RE LOOKING FOR Engineering Fundamentals Solid experience in backend, frontend, or full-stack software development Proficiency in one or more modern programming languages and frameworks Comfortable working with APIs, distributed systems, and software integrations Strong understanding of testing practices, code quality, and software design principles AI & LLM Experience Hands-on experience using AI coding tools in real development work — not just exploration or hobby projects Practical knowledge of how LLMs work, where they're effective, and where they fall short Experience with prompt engineering — writing, iterating, and evaluating prompts for reliable output Familiarity with agents, tool use, or AI-assisted workflow automation Working understanding of LLM constraints: context windows, token costs, latency, and output variability Communication & Collaboration Communicates clearly in both technical and non-technical conversations Writes documentation, specs, and code comments that others can actually use Works well in cross-functional teams and gives constructive code review feedback Takes ownership end-to-end — not just the assigned task, but the outcome NICE TO HAVE Experience in CX, contact center, or enterprise SaaS environments Familiarity with CCaaS platforms, voice/chat AI, or customer-facing AI products Exposure to building or tuning agentic systems or multi-step AI pipelines Experience contributing to shared tooling, internal platforms, or developer experience improvements WHAT TO EXPECT AT NICE A team that treats AI fluency as a professional standard — you won't be the only one who takes this seriously Access to modern AI tools, frameworks, and the space to experiment and improve how you work Real ownership — you'll be trusted to make decisions and see your work through to production A culture of continuous improvement, where how we build is as important as what we build Clear paths to grow into specialized engineering roles as your skills and interests develop READY TO APPLY? If you're a strong engineer who uses AI as a genuine part of how you work — not as a buzzword — we'd like to hear from you. We care more about what you've built and how you think than where you went to school or what your title was. NiCE is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees.About NiCE NICELtd. (NASDAQ: NICE)software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences,fight financial crimeand ensure public safety.Every day, NiCE software managesmore than120 million customer interactions and monitors3+billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

🏢 Summary: Senior executive product leadership role overseeing Trust & Safety strategy, AI-enabled moderation, shared safety infrastructure, and regulatory compliance across multiple Match Group brands. The position leads cross-functional teams to build scalable safety systems, improve ecosystem health, and drive portfolio-wide product direction. 🗂️ Requirements: 10+ years of product management experience in consumer technology, Experience in Trust & Safety, integrity, or related domains, Experience leading and scaling product teams, Experience with horizontal, platform, or multi-brand product work, Hands-on AI and machine learning product experience, Ability to translate regulatory and safety challenges into product strategy, Executive-level stakeholder management and influence, Strong analytical and problem-solving skills, Experience operating in ambiguous and high-urgency environments, Consumer-focused product thinking 📃 Skills: AI, ML, LLMs, ProductManagement, DataScience, Moderation, Compliance, Analytics, Regulations, Infrastructure 🏢 Description: About Match Group Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Match, Match-Meetic, Hinge, PlentyOfFish, The League, and others, each designed to spark meaningful connections for singles worldwide. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best products, so we work together IRL in our offices 3 days/week. About the Role As the VP of Product for Trust & Safety at Match Group, you will bring portfolio-level product leadership to our safety efforts across Match Group. You will own the long-term Trust & Safety product strategy and roadmap across our brands and the shared infrastructure supporting them — spanning the systems that detect harm, the tooling our moderation and care teams use, the capabilities that keep us compliant with a fast-moving global regulatory landscape, and the user-facing features that make safety something people can feel. You will build and lead a central team of product managers, and set product direction that engineering and operations build against. You'll sit within Match Group's central Trust & Safety leadership team and operate across each of our brands — building a deep understanding of each brand’s unique needs and focus areas, and defining a strategy that promotes safe and respectful interactions across our portfolio. Quick Facts How You'll Make an Impact Portfolio Product Strategy & Vision - Define and maintain the long-term Trust & Safety product strategy for Tinder and multiple other Match Group brands, as well as portfolio-wide central safety infrastructure. - Deploy user research and customer focus to prioritize scalable and reusable solutions. - Set a clear point of view on proactive and felt safety. - Serve as an external representative of Match Group’s safety efforts. People & Organizational Leadership - Build, grow, and lead a high-performing central team of product managers. - Partner closely with brand product, design, and engineering teams. - Build a culture of high standards, ownership, and candor. Build-Once Economics & Shared Infrastructure - Make portfolio-level build-vs-buy and vendor decisions. - Consolidate repeated capabilities into shared services. - Focus investments on high-leverage initiatives. Responsible AI - Champion AI, machine learning, and LLM applications across safety systems. - Build tools and systems to support AI-enabled development. - Deliver AI-augmented moderation and care at scale. - Maintain accuracy, fairness, privacy, and explainability. Regulatory & Safety by Design - Translate global safety regulations into product strategy. - Build safety and compliance into products by design. Cross-Functional & Cross-Brand Partnership - Partner with Engineering, Data Science, Legal, Policy, Operations, and product leadership. - Resolve tradeoffs between brand and portfolio priorities. What We're Looking For - 10+ years of product management experience in consumer technology. - Significant experience in Trust & Safety, integrity, or adjacent domains. - Proven experience scaling product teams. - Experience leading platform or multi-brand product initiatives. - Hands-on AI and machine learning fluency. - Ability to translate ambiguous problems into measurable product strategy. - Strong executive presence and stakeholder management skills. - Exceptional analytical and problem-solving skills. - Deep user empathy and consumer-centric thinking. Bonus Points - Experience across multi-brand portfolios. - Familiarity with international safety regulations and compliance. - Experience with Trust & Safety operations and moderation workflows. - Experience partnering with AI/ML teams on detection and generative AI risk mitigation. Benefits - Medical, mental health, and wellness benefits. - Competitive compensation and 401k employer match. - Employee stock purchase program. - Generous PTO and 14 paid holidays. - Annual training allowance and ERG opportunities. - 20 weeks paid parental leave. - Fertility, adoption, childcare resources, and pet insurance. - Company gatherings and employee events. Match Group is proud to be an equal opportunity employer.

🏢 Summary: Machine Learning Engineer role focused on designing, building, and deploying production ML systems across Lyft Business, including pricing, fraud detection, marketplace optimization, and agentic AI applications. The position involves owning models end-to-end, developing scalable ML infrastructure, and translating business problems into impactful ML solutions. The role operates in high-scale environments influencing revenue, operations, and user experience. 🗂️ Requirements: Experience with GenAI and LLM ecosystems, Experience building and deploying production ML models, Experience with pricing, marketplace, or fraud ML problems, Experience with feature engineering and ML pipelines, Experience with cloud ML services, Ability to productionize research prototypes, Experience running experiments and evaluating ML performance, Ability to design scalable ML systems, Proficiency in writing production-quality code 📃 Skills: Python, MachineLearning, LLM, GenAI, RAG, LangChain, LangGraph, SageMaker, Bedrock, AWS, GraphNN, KnowledgeGraphs, NetworkAnalysis, APIs, Experimentation 🏢 Description: At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Machine Learning is at the heart of Lyft’s products and decision-making. Machine Learning Engineers at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges, from pricing and marketplace frameworks that ensure reliability and competitiveness, to agentic AI platforms that automate analytical workflows, to behavioral detection systems that protect the integrity of our network. We operate at the intersection of applied ML and real business impact, shipping models that directly influence revenue, rider experience, and partner trust. Lyft Business builds products that help organizations move the people who matter most—employees, customers, patients, and guests—easily and efficiently. Our offerings include Business Travel, Lyft Pass, and Concierge (for healthcare and non-healthcare rides), enabling companies to manage transportation at scale through APIs, integrations (e.g., Concur, Expensify), and dedicated tools. These platforms power high-impact B2B use cases across corporate travel, healthcare access, customer experience, and community programs. We're looking for a Machine Learning Engineer to design, build, and deploy ML systems across Lyft Business. This is a high-scope role: you won't be siloed into one problem area. Instead, you'll move across pricing algorithms, fraud and behavior detection, agentic AI systems, and emerging ML applications as the business evolves. You'll write production-quality code, own models end-to-end from prototyping through deployment, and collaborate closely with Data Scientists, Product Managers, and Software Engineers to translate complex business problems into scalable ML solutions. This role is ideal for someone who is technically versatile, energized by variety, and wants to see their work directly shape a large-scale business. Responsibilities: Develop and deploy ML models across multiple problem domains — including dynamic pricing, marketplace optimization, fraud detection, and anomaly/behavior detection — in production environments serving millions of rides Build and iterate on agentic AI systems (e.g., LLM-powered analytical agents) that automate decision-making and reduce operational overhead Design and implement feature pipelines, model training workflows, and serving infrastructure using Lyft's ML platform Partner with Data Scientists on the Algorithms and Decisions teams to take research prototypes from proof-of-concept to production at scale Evaluate ML system performance against business KPIs, run experiments, and drive continuous model improvement Identify new opportunities where ML can create leverage across Lyft Business verticals (Healthcare, Lyft Pass, Business Travel) and pitch solutions Contribute to team engineering standards — code quality, observability, documentation, and testing practices Experience: Experience with GenAI / LLM ecosystems — prompt engineering, RAG, agent frameworks (e.g., LangChain, LangGraph), or fine-tuning Exposure to graph-based ML methods (graph neural networks, knowledge graphs, network analysis) Experience with pricing, marketplace, or fraud-related ML problems Familiarity with cloud ML services (AWS SageMaker, Bedrock) or internal ML platforms Track record of identifying and scoping ML projects independently, not just executing on pre-defined specs Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan with company match to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Monthly Lyft credits and complimentary Lyft Pink membership Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $176,000-$211,200, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.