Software Engineer II, Machine Learning

🏢 Summary: Hybrid BD Operations Analyst role supporting Tinder’s Events Program by managing deal flow, contract lifecycle, partner coordination, and event supply operations within the app. The position focuses on CRM management, data reporting, quality control, and cross-functional collaboration with BD, Legal, Finance, and Product teams. It requires a detail-oriented professional experienced in operations and partnership processes within a fast-paced environment. 🗂️ Requirements: 2–4 years of experience in operations, partnerships coordination, account management, or similar role, Experience managing contracts, payments, or vendor/partner processes, Proficiency in CRM systems (e.g., Salesforce, HubSpot), Experience working with spreadsheets and data reporting tools, Ability to manage contract lifecycle and approval workflows, Strong cross-functional collaboration with BD, Legal, Finance, and Product teams, Ability to maintain accurate records and ensure data quality, Experience supporting operational workflows and process improvements 📃 Skills: Salesforce, HubSpot, CRM, Spreadsheets, DocuSign, Coupa, Data, Reporting 🏢 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. 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. Description Tinder's Events program is building a new way for members to connect in person — and the operational backbone that makes it run is just as critical as the partnerships that power it. The BD Operations Analyst, Events Program is an IC role responsible for keeping deal flow moving, contracts clean, and event supply healthy on the Tinder platform. You'll sit at the intersection of the BD team, event host partners, and the product team — ensuring that what gets sourced in the field actually shows up in the app, accurately and on time. This is a detail-oriented, systems-driven role focused on making complex workflows run smoothly. You will collaborate daily with BD Managers, Legal, Finance, and Product. Responsibilities Operationalize deal flow across the Events BD team — tracking pipeline stages, maintaining CRM hygiene, and ensuring clean handoffs from sourcing through activation Manage the contract lifecycle for event host partnerships, including routing agreements for approval, coordinating payment processing, and maintaining accurate records Build and maintain relationships with existing event host partners, acting as a key point of contact for renewals, recurring deal logistics, and day-to-day questions Partner with the product team to manage event supply within the app — coordinating on listings, status updates, scheduling changes, and content accuracy Own quality control processes: review active and incoming event listings for brand alignment, content accuracy, and compliance with Tinder's policies Maintain clean, reliable data across partnership systems; build and distribute regular reports on supply health, partner activity, and deal metrics Identify operational gaps and propose scalable solutions as the program expands to new markets Support the broader BD team with ad hoc research, partner communications, and administrative workflows as needed Requirements 2–4 years of experience in operations, partnerships coordination, account management, or a similar detail-oriented role Strong organizational skills with experience managing contracts, payments, or vendor/partner processes Analytical mindset — comfortable working in spreadsheets, CRMs (Salesforce, HubSpot, or similar), and data reporting tools Clear, professional communicator who can manage multiple internal and external stakeholders simultaneously Proactive, process-improvement mindset Ability to work cross-functionally with BD, Legal, Finance, and Product teams Nice to Have Experience in the events, entertainment, hospitality, or consumer marketplace industries Familiarity with contract management or payment processing tools (e.g., DocuSign, Coupa, or similar) Background working alongside product or engineering teams Experience supporting a multi-market or high-volume partner portfolio Benefits 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 and family forming benefits Annual $3,000 professional development stipend and access to 6,000+ online courses via Udemy Mental health support, paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy Free Tinder Gold subscription Commitment to Inclusion We strive to build a workplace that reflects the rich diversity of our members around the world and value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, you are invited to apply and show how your skills could transfer. Tinder is proud to be an equal opportunity workplace welcoming people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.

🏢 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: 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: 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.

🏢 Summary: The role focuses on engineering production-grade AI features such as semantic search, intelligent assistants, and automated risk scoring by integrating external AI providers into a cybersecurity platform. You will own the full lifecycle from prototype to reliable, monitored production services, primarily using Python on Azure. This position emphasizes robust software engineering practices over model research or training. 🗂️ Requirements: 5+ years of professional experience building production systems in Python, Expert-level Python programming skills, Experience with ML frameworks and libraries, Proven experience shipping and operating production software, Experience integrating external APIs in production environments, Strong understanding of software architecture and design patterns, Practical experience with CI/CD pipelines, Experience with containerization using Docker, Understanding of AI/ML concepts including LLMs, embeddings, prompt engineering, RAG, Experience with unit and integration testing and mocking external services, Polish work permit, Professional proficiency in English 📃 Skills: Python, Azure, OpenAI, Anthropic, Docker, CI/CD, FastAPI, Flask, Pinecone, Weaviate, Chroma, .NET, REST, LLMs, RAG, Embeddings, Git 🏢 Description: About the Role As a Senior AI/ML Engineer you will be building AI-powered features at the core of our platform - semantic search, an intelligent assistant, automated risk scoring, and much more. We mainly integrate with external AI model providers (OpenAI, Anthropic, and others) to deliver these capabilities to our clients and internal users. This is a software engineering role, not a data science or ML research position. You won't train models from scratch or publish papers. You'll engineer production-grade systems that leverage AI to solve real cybersecurity problems. If you're a strong Python engineer excited about making AI reliable, maintainable, and impactful — we want to talk to you. We're looking for a versatile software engineer to own the journey from AI prototype to reliable production system: building robust integrations with external AI providers or fine-tuned models, standardizing our Python codebase and release pipelines, and ensuring our AI features meet the same quality bar as any other production service. What You'll Do Ship AI features end to end - from integration design through deployment to monitoring in production. You'll build and maintain Python services that power our AI-driven capabilities on Azure. Build production-ready AI / ML integrations - including retry logic, rate limiting, cost monitoring, fallback strategies, and abstraction layers that allow us to swap between model providers. Turn proofs of concept into reliable software - collaborate with our AI experts (who bring deep ML/data science expertise) to take working prototypes and engineer them into tested, documented, production-grade services. Standardize Python engineering practices - establish and evolve our code organization, testing strategies, CI/CD pipelines, and release processes for AI/ML features. Design clean service boundaries - our platform's core runs on .NET. You'll design and maintain well-defined APIs between the Python/AI layer and the rest of the system. Mentor and share knowledge - help other engineers grow their Python and AI engineering skills, and bring engineering rigor to the broader team's practices. Contribute to architecture decisions - work closely with other teams to shape how AI capabilities evolve within the platform. Who You Are Must-Haves 🔹 5+ years of professional experience building and maintaining production systems in Python. 🔹 Expert-level programming skills and proficiency with common ML frameworks and libraries. 🔹 A track record of shipping and operating software - not just building prototypes. You care about testing, monitoring, logging, and what happens after deployment. 🔹 Experience integrating external APIs in production systems - ideally AI/LLM provider APIs (OpenAI, Anthropic, Azure AI, or similar), but strong API integration experience in any domain counts. 🔹 Solid understanding of software architecture and design patterns - you have opinions about how to structure a Python project and can articulate trade-offs. 🔹 Practical knowledge of CI/CD pipelines, containerization (Docker), and modern development workflows. 🔹 A working understanding of AI/ML concepts - you know what embeddings, LLMs, prompt engineering, and RAG are. You can have a productive technical conversation with an ML specialist without needing every concept explained from scratch. 🔹 Experience with testing strategies - unit tests, integration tests, mocking external services. You instinctively write tests, not as an afterthought. 🔹 A highly adaptable, problem-solving and result-oriented mindset with the ability to work independently and take ownership in a fast-paced and dynamic environment. 🔹 Strong communication skills in English (our working language). 🔹 Willingness to learn continuously and share what you learn with the team. Nice-to-Haves 🔸 Experience with Azure cloud services. 🔸 Familiarity with FastAPI, Flask, or similar Python web frameworks. 🔸 Exposure to MLOps tooling or practices (model versioning, experiment tracking, feature stores). 🔸 Hands-on experience in Document AI / Intelligent Document Processing using traditional models and Generative AI. 🔸 Experience with vector databases (Pinecone, Weaviate, Chroma, or similar). 🔸 Any experience with .NET - helpful for cross-team collaboration, but not expected. 🔸 Background in or interest in cybersecurity as a domain. Your Team You'll join our Synapse team - a small, focused group responsible for all AI/ML capabilities within our platform. The team consists of: -> Team Leader / Architect - provides high-level architectural guidance, planning, and cross-stack delivery. -> AI / ML Engineer - deep expertise in AI/ML and data science. Your counterbalance: they bring the ML knowledge, you bring the production engineering discipline. -> AI / Backend Engineer - transitioning from .NET into AI engineering. A teammate you'll mentor and grow alongside. -> You - the person who bridges the gap between AI prototypes and reliable production systems. Why Join Us? / What We Offer: Competitive salary and benefits package. Remote work options and flexible working hours. Actual impact on the choice and shape of solutions developed. Opportunities for professional growth and development. Training and conference budget. A collaborative, innovative work environment with an iterative agile approach. The role is for six months with the possibility of extension. Both full-time and part-time cooperation are possible.

🏢 Summary: Machine Learning Engineer role focused on building and deploying AI-driven detection systems to identify policy-violating behavior and harmful content, ensuring user safety on the platform. The position involves end-to-end ownership of ML projects, from data collection and model training to deployment and monitoring in production. The role emphasizes applied ML, LLM integration, and scalable infrastructure in a Trust & Safety context. 🗂️ Requirements: 2+ years experience as Machine Learning Engineer, Applied Scientist, or Data Scientist, 1+ year experience deploying end-to-end ML models in production, Proficiency in Python and SQL, Experience with at least one ML framework (e.g., PyTorch), Experience training and deploying ML models in production environments, Understanding of distributed computing for ML training and inference, Hands-on experience with LLMs and AI agents in real-world applications, Experience designing and running ML/LLM evaluation frameworks, Experience working with cloud platforms (GCP, AWS, or Azure), Experience building or contributing to data pipelines for batch or streaming processing, Degree in Computer Science, Engineering, or related field (or equivalent experience) 📃 Skills: Python, SQL, PyTorch, HuggingFace, Spark, Kubernetes, Databricks, Ray, Kubeflow, Argo, GCP, AWS, Azure, LLM, RAG 🏢 Description: Hinge is the dating app designed to be deletedIn today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all.About the Role Join Hinge as a Machine Learning Engineer on the Trust & Safety team, where you'll apply AI and machine learning to mitigate the impact of policy violating actors, remove harmful content, and keep our users safe on the platform. Working alongside an established Trust & Safety AI team, you'll partner with product managers, data scientists, engineers, and analysts to build, deploy, and improve detection systems that have a direct, measurable impact on user safety. This is a high-ownership IC role on a small team with a large mission. You'll own the end-to-end lifecycle of ML projects, contribute to a growing portfolio of AI-powered safety features, and grow alongside senior engineers, all while playing a foundational role in how Hinge applies machine learning to give users a safer experience on their journey to find intimate connection.Responsibilities Build, deploy, and maintain end-to-end machine learning models that detect policy violating actors, remove harmful content, and keep users safe. Own medium-sized projects end-to-end (from problem scoping and data collection to training, deployment, monitoring, and iteration). Contribute to scalable inference and data pipelines (e.g., Spark, Kubernetes), including preprocessing, batch and real-time inference, and post-processing components. Apply standardized performance metrics, testing protocols, and evaluation processes to measure model effectiveness and identify risks. Continuously assess and refine deployed models using user feedback, business impact signals, and emerging policy and ethical considerations. Collaborate closely with Data Scientists, Data Engineers, Product Managers, Backend Engineers, and the AI Platform team to ship coordinated user safety improvements. Stay current on advances in AI/ML, particularly LLMs and evaluation methods, and apply appropriate techniques to detection and user safety problems. What We're Looking For Strong programming skills: Proficiency in Python and SQL, comfort with at least one ML stack (e.g., PyTorch, Hugging Face Transformers), and a working understanding of data pipelines. Domain expertise: Solid understanding of machine learning, deep learning, and emerging AI techniques. Track record of building, debugging, and fine-tuning ML models for user-facing products. Experience with content classification, fraud detection, or related Trust & Safety problems is a plus. System design & architecture: Experience training and deploying ML models in production. Working understanding of distributed computing for inference and training. AI application: Hands-on with AI agents, RAG, structured outputs, and function/tool calling. Understands when to reach for an agent or LLM vs. a classical ML approach. Evaluation frameworks for ML and LLM systems: Comfort designing and running evaluations to measure model effectiveness, fairness, and safety across both classical ML and LLM systems. Familiar with golden datasets, LLM-as-judge patterns, precision/recall/F1, false positive rates, hallucination, and offline/online metrics. Cloud and data platform proficiency: Hands-on with at least one cloud environment (GCP, AWS, or Azure). Familiarity with Databricks, Ray, or Kubeflow is a plus. Data engineering knowledge: Comfortable handling large datasets, including cleaning, preprocessing, and storage, and contributing to batch and streaming pipelines orchestrated with tools like Databricks or Argo. Project ownership: Demonstrated ability to drive medium-sized projects to completion, identify and unblock yourself on technical issues, and ship measurable outcomes with limited oversight. Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds. Strong written communication: The ability to communicate complex ideas and technical knowledge through Prior Experience 2+ years of experience as an MLE, applied scientist, or data scientist (depending on education). 1+ years of experience applying end-to-end machine learning models in an industry setting — including data collection, model training, deployment, and monitoring. Experience integrating or evaluating LLMs in real-world applications with appropriate baseline metrics and evaluation methodologies is a plus. Familiarity with at least one ML infrastructure component (feature store, training environment, model serving, observability, workflow orchestrator). Previous exposure to Trust & Safety, fraud detection, content classification, or compliance is preferred but not required. Demonstrated use of modern AI tooling in their actual workflow (e.g., Cursor, Claude Code, Codex). A degree in computer science, engineering, or a related field (or equivalent practical experience). As a member of our team, you’ll enjoy:401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year.Professional Growth: Get an annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day.Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.)Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide a stipend towards fertility preservation. You and your spouse/domestic partner are both eligible.Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones.ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Raices, Women/Nonbinary, Parents —that hold regular meetings, host events, and provide dedicated support to the organization & its community.At Hinge, our core values are…Authenticity: We share, never hide, our words, actions and intentions.Courage: We embrace lofty goals and tough challenges.Empathy: We deeply consider the perspective of others.Diversity inspires innovationHinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds.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 let your Talent Acquisition partner know. #Hinge

🏢 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: 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!