Business Development Operations Analyst, Events Program

🏢 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: 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 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: Lead cultural marketing strategy and social-first brand initiatives across Match Group’s portfolio, driving relevance through creators, partnerships, content, and experimentation. The role oversees cultural strategy, social channels, influencer programs, partnerships, analytics collaboration, and cross-functional leadership to grow brand impact and audience engagement. 🗂️ Requirements: 10+ years in brand, social, cultural marketing, partnerships, or creator marketing, Experience building culturally relevant campaigns and engagement programs, Experience leading cross-functional teams and external partners, Strong social media strategy and creator marketing expertise, Ability to manage partnerships from negotiation to measurement, Data literacy and performance measurement experience, Strong editorial judgment and creative direction skills, Experience with experimentation across emerging platforms and formats 📃 Skills: Social, Creators, Influencer, Analytics, Substack, Pinterest, Content, Partnerships, Editorial, Community 🏢 Description: Match Group is seeking a Director of Culture & Content to lead how priority brands across the portfolio show up in culture. Sitting within the Everywhere & Everyone portfolio, this role turns brand strategy into cultural relevance through social, creators, partnerships, and content, focusing effort where business need and cultural opportunity are greatest. Working in close partnership with Brand Leadership, this person will build social-first cultural engines that grow relevance, fandom, and brand impact. In this role, you will: Cultural strategy - Spot emerging trends, communities, creators, and behaviors across audiences and cultures, and turn them into actionable opportunities for the portfolio. - Build the cultural roadmap for where priority brands should play, with whom, and why. - Bring strong consumer instinct and portfolio judgment, knowing which brands, audiences, and moments need attention as business priorities and culture shift. Social, creators & experimentation - Own how priority brands show up across owned social channels, including channel roles, content priorities, community engagement, and brand voice. - Lead social as a strategic lever for brand perception, fandom, and conversion. - Build creator and influencer strategies that make brands feel human, current, and culturally relevant. - Set the creative and editorial bar for the portfolio’s social presence. - Build a roadmap for experimentation across emerging and underleveraged platforms, formats, and behaviors - from creator models to channels like Substack and Pinterest. - Partner with analytics and growth teams to define test-and-learn priorities, measure performance, and scale what works. Partnerships & Experiences - Lead brand, creator, and cultural partnerships from identification through negotiation, activation, and measurement. - Create partnerships and IRL activations that expand relevance, credibility, reach, and conversation. - Build a connected flywheel across social, community, creators, partnerships, experiences, and paid amplification. Leadership & Measurement - Define success metrics and standardize reporting, tools, and learning agendas across cultural initiatives. - Lead and develop a high-performing team across social, content, creator, and partner workflows. - Manage agencies and external partners across creative development, community management, talent, and production. - Serve as a cross-functional leader across brand, insights, creative, PR, product, growth, and analytics. You’ll need: - 10+ years of experience in brand, social, cultural marketing, partnerships, creator marketing, or adjacent disciplines. - Proven success building culturally relevant programs that generate conversation, engagement, and brand love. - Strong consumer instinct and cultural empathy across different audiences, communities, and subcultures. - Strong portfolio judgment and prioritization skills. - Strong creative instincts, editorial judgment, and ability to move quickly on opportunity. - Experience leading cross-functional teams and external partners from idea through execution and measurement. - Data-literate, comfortable with ambiguity, and able to build structure where needed. As a full-time employee, you’ll enjoy: - Unlimited PTO (with no waiting period), 10 annual Wellness Days - Time off to volunteer and charitable donations matching - 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), family forming benefits, and Milk Stork access for business travel, surrogacy, and relocation - Mentorship through the MentorMatch program, access to 6,000+ online courses through Udemy, and an annual professional development stipend - Access to mental health support via Modern Health and Insight Timer, concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy - Free subscription to Tinder Gold Our Values - Take the Lead - Move Fast - Better Together - Real Talk - Safety First - Spark Fun Benefits - Medical, mental health, and wellness benefits - Competitive compensation and 401(k) employer match up to 10% - Employee stock purchase program - Generous PTO and 14 paid holidays - Annual training allowance and ERG membership opportunities - 20 weeks of 100% paid parental leave, fertility, adoption, and childcare resources - Pet insurance and discounts - Company happy hours and events We are proud to be an equal opportunity employer and value diversity across our workforce.

🏢 Summary: Senior brand marketing role focused on revitalizing the Match brand through strategy, integrated campaigns, product storytelling, and performance-driven marketing. The position partners cross-functionally to strengthen brand relevance for adults 45+ and connect marketing initiatives to measurable business growth. 🗂️ Requirements: 6+ years of experience in brand marketing, strategy, integrated marketing, or product marketing, Experience with consumer apps, digital platforms, or high-growth consumer brands, Experience leading integrated campaigns from strategy through execution, Cross-functional leadership across product, creative, insights, media, PR, and growth teams, Ability to translate consumer insights into brand strategy and marketing plans, Strong analytical and performance measurement skills, Experience managing multiple workstreams in dynamic environments 📃 Skills: Marketing, Branding, Strategy, Analytics, Research, PR, Media, Growth, Product, Campaigns 🏢 Description: Match Group is seeking a Sr. Manager, Brand Marketing to help lead brand strategy and execution for Match. Sitting within Everywhere & Everyone, this role is focused on Match while remaining flexible to support broader portfolio needs over time. Match is a priority brand at an important point in its journey - ripe for revival, with an opportunity to sharpen its emotional differentiation, modernize how it shows up in market, and strengthen its relevance with adults 45+. This person will partner closely across product, growth, media, creative, insights, PR, and social to help shape strategy, steward the brand day to day, and connect brand work to business results. As a full-time employee, you’ll enjoy: - Unlimited PTO (with no waiting period), 10 annual Wellness Days - Time off to volunteer and charitable donations matching - 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), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation - Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual stipend for your professional development - Investment in your wellness: access to mental health support via Modern Health, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy What you'll do: Brand strategy & stewardship - Drive development of Match’s brand strategy, positioning, and annual narrative across campaigns, launches, and key member touchpoints. - Define the consumer truth for Match, with particular focus on the needs, motivations, and emotional drivers of adults 45+. - Write clear, insight-driven briefs that align teams around the audience, problem to solve, and story to tell. - Serve as a strong day-to-day brand steward, ensuring Match shows up with clarity, relevance, and consistency across channels and experiences. - Close partnership with Research & Insights on understanding core user segments and translating those insights into actionable brand & product strategies. Integrated marketing & product - Lead integrated marketing programs across brand campaigns, product launches & PR moments - Partner with creative, social, PR, and external agencies to brief the work, steward execution, and ensure output ladders back to the brand strategy. - Work closely with the product team to help shape the product roadmap and storytelling, ensuring features are inherently connected to the brand strategy and are launched as meaningful brand moments - Translate brand strategy into product and feature messaging that is clear, motivating, and rooted in member value. Business, data & measurement - Manage the brand with a general-manager mindset - tracking business performance, KPIs, and brand health alongside campaign execution. - Partner with media and growth teams to connect brand and performance efforts to the same core brief and business objective. - Define success metrics, measure performance across brand activity, and use results and learnings to improve future strategy. - Bring analytical rigor to decision-making, using qualitative and quantitative inputs to refine investment, improve acquisition efficiency, and drive long-term growth. What we're looking for: - 6+ years of experience in brand marketing, strategy, integrated marketing, or product marketing, ideally within consumer apps, digital platforms, or high-growth consumer brands. - Strong experience leading IATs and large scale campaigns from strategy through execution, with strong judgment across creative, channel, and audience decisions. - Strong cross-functional leadership skills and experience partnering across product, creative, insights, media, PR, and growth. - A balance of strategic thinking, creative storytelling, and analytical rigor. - Experience translating consumer insight into strong briefs, differentiated brand strategy, and integrated marketing plans. - Strong understanding of how brand and performance work together to drive both immediate impact and long-term growth. - Strong organizational skills, comfort managing multiple workstreams, and the ability to operate with ownership in a dynamic environment. Benefits: - Medical, mental health, and wellness benefits - Competitive compensation and 401(k) employer match up to 10% - Employee stock purchase program - Generous PTO and 14 paid holidays - Annual training allowance and ERG membership opportunities - 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources - Pet insurance and discounts - Company events and employee connection opportunities 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 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 BI and Analytics Engineer responsible for building and optimizing scalable data tools and pipelines within a modern data stack to deliver trusted, high-quality insights across the organization. The role focuses on SQL-driven analytics, data modeling, DataOps practices, and cross-functional collaboration to enable data-driven decision-making. You will develop robust data transformations, maintain data quality, and create impactful dashboards and reverse ETL workflows. 🗂️ Requirements: BSc/MA in Computer Science, Statistics, Math, Engineering or related quantitative field, Minimum 4 years experience in analytics engineering, data engineering, data analytics or related field, Advanced SQL expertise, Experience with in-warehouse transformation tools (dbt preferred), Experience designing and querying OLAP data warehouses (Snowflake or BigQuery), Minimum 1 year experience with BI tools (Looker preferred), Experience with dimensional data modeling (Kimball or Data Vault), Experience building and maintaining data pipelines, Command line proficiency, Git version control experience 📃 Skills: SQL, dbt, Snowflake, BigQuery, Looker, Airflow, FiveTran, OLAP, Kimball, DataVault, Git, Bash, Python, Docker, Kubernetes, ECS, Snowplow 🏢 Description: Who are we and why should you join us? BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world's largest online therapy service, providing affordable and convenient therapy in across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we're not stopping there – as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution. As a Senior BI and Analytics Engineer at BetterHelp, you'll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We deeply invest in our team's well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you'll carve your own path, make an immediate impact, and be challenged every day – with a supportive community behind you the whole way. What are we looking for? We are looking for a Senior Business Intelligence and Analytics Engineer to help us in developing best in class data tools to deliver high quality tools and services and maintain our accelerated growth. These tools must be developed and maintained using best practices to ensure scalability and stakeholder trust as we grow in both size and scope. You will work cross functionally closely with both technical and business stakeholders across the company, as well as optimize our data stack for delivering trustworthy, discoverable, impactful data to fit their needs. What will you do? Act as a subject matter expert (SME) and deliver training to the cross functional teams to enable business users to make data-driven decisions. Deliver direct analytical insights like dashboards and ad-hoc analyses to business stakeholders Collaborate with the teams across the company to understand their use cases and deliver high value data tools Live and breathe SQL Ensure data quality and freshness at every step of the pipeline for data trust and consistency Create reverse ETL flows to make modeled data directly to stakeholders in the tools they use to foster fast and informed decision making Define and build robust DataOps pipelines and data expectations to ensure the effective delivery of data to all internal data services Explore, propose, and integrate new data sources and software solutions into the reporting environment Contribute to data-driven culture at BetterHelp by directly training stakeholders as well as creating resources such as documentation for empowering others to perform their own analyses Enjoy great teamwork, have lots of fun, and take pride in building a world-class product that makes a difference in people's lives. Partner with data and machine learning engineers and work with a modern data stack: Airflow, FiveTran, Snowflake, dbt, and Looker What will you NOT do? You will NOT worry about "runway", "cash left", or "how much time we have until the next round". We have the startup DNA but we're fully backed and funded, all the way to success. You will NOT be confined to your "job". You will get involved in product, marketing, business strategy, and almost everything we do. You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here! You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really. Can I work remotely? Yes. We operate on PST and candidates in any time zone are welcome to apply. We ask employees to travel to our San Jose, CA office up to three times per year plus one company-wide offsite to collaborate in person and strengthen working relationships. Travel expenses are covered and reasonable accommodations are made for those under unique circumstances who cannot travel. Requirements BSc/MA in a quantitative discipline such as Computer Science, Statistics, Math, or Engineering At least 4 years of experience in an analytics engineering, data engineering, data analytics, or a related field Advanced experience working with data pipeline tools, particularly in-warehouse transformation tools (preferably dbt) Advanced experience with SQL Experience querying and designing performant tables within OLAP data warehouses (e.g. Snowflake, BigQuery) At least 1 year experience working & developing with BI Tools (preferably Looker) Familiarity with frameworks and tradeoffs in building complex data models, preferably working work dimensional modeling frameworks (e.g. Kimball, Data Vault) Excellent communication (oral and written), attention to detail, time management and organizational skills Experience and comfort using the command line Experience using git for version control Bonus (Great to have, but not required) Familiarity with patterns for handling large-scale data transformations (e.g. dbt incremental models, horizontal/vertical scaling big data patterns) Experience working with Python-based workflow orchestration tools (e.g. Airflow) Experience working with Docker and container orchestration (e.g. Kubernetes, ECS) Experience with web-based B2C, marketplace products Familiarity with web event tracking tools like Snowplow Experience defining and building DataOps practices and deployment strategies Experience defining data governance procedures & working with data catalogs Benefits Remote work with regular in-person bonding experiences sponsored by the company Competitive compensation Holistic perks program (including free therapy, employee wellness, and more) Excellent health, dental, and vision coverage 401k benefits with employer matching contribution The chance to build something that changes lives – and that people love Any piece of hardware or software that will make you happy and productive An awesome community of co-workers The base salary range for this position is $100,000 - $155,000 In addition to the base salary, this position is eligible for a performance bonus and the extensive benefits listed here (subject to eligibility requirements): Teladoc Health Benefits 2025. Total compensation is based on several factors – including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable to all full-time positions. At BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status.

🏢 Summary: This role focuses on executing and optimizing sweepstakes and promotional campaigns on a mobile gaming platform to drive player acquisition, engagement, and retention. The position manages limited-time offers, seasonal activations, and lifecycle initiatives while leveraging analytics and A/B testing to improve key performance metrics. It requires close cross-functional collaboration and adherence to regulatory and compliance standards. 🗂️ Requirements: Bachelor's degree in Marketing, Business, Communications, or related field, 1–3 years (Associate) or 3–5 years (Senior Associate) experience in mobile gaming, sweepstakes, social casino, or consumer app marketing, Experience with campaign management and CRM platforms, Experience with analytics tools, A/B testing and data-driven decision-making experience, Ability to execute sweepstakes and promotional campaigns with regulatory compliance awareness 📃 Skills: CleverTap, SpringBig, Braze, GoogleAnalytics, Tableau, AppsFlyer, ABTesting, CRM, Analytics 🏢 Description: About the Role This position is responsible for supporting the execution of sweepstakes campaigns, promotional events, and player lifecycle initiatives on the platform. The role directly drives player acquisition, engagement, and conversion through the successful execution of sweepstakes campaigns, including no-purchase-necessary promotions, limited-time offers (LTOs), coin bundle events, and seasonal sweepstakes activations. Working closely with Product Marketing, Analytics, Product, and Compliance teams, this hire will help ensure the sweepstakes campaign calendar is executed seamlessly while contributing to improvements in key metrics such as pMAU, depositor conversion rate, and D30 retention. Responsibilities - Plan and manage sweepstakes player acquisition, engagement, and retention campaigns (emails, push notifications, in-app campaigns, sweepstakes entry promotions, and coin bundle offers). - Develop limited-time sweepstakes offers, prize-based promotions, and seasonal sweepstakes events to drive player activity and coin purchases. - Maintain the sweepstakes campaign calendar and ensure timely, error-free, and compliant execution of all events. - Use data insights and analytics to optimize sweepstakes campaigns and proactively recommend improvements to engagement and monetization mechanics. - Run A/B tests on sweepstakes campaign mechanics, entry offers, and prize structures; track key metrics and deliver actionable results. - Collaborate with Analytics, Product, Design, and Legal/Compliance teams to integrate sweepstakes campaigns seamlessly and ensure regulatory adherence. Key Competencies - Sweepstakes & Promotional Campaign Execution: Ability to plan, coordinate, and execute sweepstakes campaigns, limited-time offers (LTOs), seasonal activations, and promotional events with strong attention to detail and operational excellence. - Player Lifecycle & Retention Strategy: Understanding of player acquisition, engagement, retention, and conversion strategies, with the ability to optimize campaigns that improve key player lifecycle metrics such as pMAU, depositor conversion, and D30 retention. - Cross-Functional Collaboration: Proven ability to work effectively across Product Marketing, Product, Analytics, Compliance, and Operations teams to ensure campaigns are launched accurately, on time, and in alignment with business objectives. - Data Analysis & Performance Optimization: Ability to analyze campaign performance data, identify trends and opportunities, and make data-driven recommendations to improve promotional effectiveness and player engagement outcomes. - Regulatory & Compliance Awareness: Familiarity with sweepstakes regulations, promotional compliance requirements, and operational processes necessary to ensure campaigns adhere to legal and platform guidelines. Experience - Bachelor's degree in Marketing, Business, Communications, or a related field. - 1–3 years (Associate) or 3–5 years (Senior Associate) of experience in mobile gaming, sweepstakes, social casino, or consumer app marketing. LiveOps experience is a strong plus. - Experience with campaign management and CRM platforms (e.g., CleverTap, SpringBig, Braze) and analytics tools (e.g., Google Analytics, Tableau, AppsFlyer). - A/B testing and data-driven decision-making experience. - Familiarity with sweepstakes mechanics and promotional compliance requirements (no-purchase-necessary rules, prize fulfillment, applicable state regulations) is a strong plus. Total Starting Compensation including Base + Bonus: $120,114 Travel Requirement: Less than 10% Skillz embraces diversity and is proud to be an equal opportunity employer. As part of our commitment to diversifying our workforce, we do not discriminate on the basis of age, race, sex, gender, gender identity, color, religion, national origin, sexual orientation, marital status, citizenship, veteran status, or disability status, and we operate in compliance with the San Francisco Fair Chance Ordinance.

🏢 Summary: This role leads the execution and optimization of sweepstakes and promotional campaigns on a mobile gaming platform to drive player acquisition, engagement, and retention. The position focuses on managing campaign calendars, launching limited-time offers and seasonal activations, and improving key lifecycle metrics through data-driven experimentation. You will collaborate cross-functionally to ensure compliant, timely, and high-impact campaign delivery. 🗂️ Requirements: Bachelor's degree in Marketing, Business, Communications, or related field, 1–3 years (Associate) or 3–5 years (Senior Associate) experience in mobile gaming, sweepstakes, social casino, or consumer app marketing, Experience with campaign management and CRM platforms, Experience with analytics tools, A/B testing and data-driven decision-making experience, Knowledge of sweepstakes mechanics and promotional compliance requirements, Ability to collaborate cross-functionally with Product, Analytics, Marketing, and Compliance teams 📃 Skills: CleverTap, SpringBig, Braze, GoogleAnalytics, Tableau, AppsFlyer, ABTesting, CRM, Analytics, LiveOps 🏢 Description: About the Role This position is responsible for supporting the execution of sweepstakes campaigns, promotional events, and player lifecycle initiatives on the platform. The role will directly drive player acquisition, engagement, and conversion through the successful execution of sweepstakes campaigns, including no-purchase-necessary promotions, limited-time offers (LTOs), coin bundle events, and seasonal sweepstakes activations. Working closely with Product Marketing, Analytics, Product, and Compliance teams, this hire will help ensure the Sweepstakes campaign calendar is executed seamlessly while contributing to improvements in key metrics such as pMAU, depositor conversion rate, and D30 retention. Responsibilities - Plan and manage sweepstakes player acquisition, engagement, and retention campaigns (emails, push notifications, in-app campaigns, sweepstakes entry promotions, and coin bundle offers). - Develop limited-time sweepstakes offers, prize-based promotions, and seasonal sweepstakes events to drive player activity and coin purchases. - Maintain the sweepstakes campaign calendar and ensure timely, error-free, and compliant execution of all events. - Use data insights and analytics to optimize sweepstakes campaigns and proactively recommend improvements to engagement and monetization mechanics. - Run A/B tests on sweepstakes campaign mechanics, entry offers, and prize structures; track key metrics and deliver actionable results. - Collaborate with Analytics, Product, Design, and Legal/Compliance teams to integrate sweepstakes campaigns seamlessly and ensure regulatory adherence. Key Competencies - Sweepstakes & Promotional Campaign Execution - Player Lifecycle & Retention Strategy - Cross-Functional Collaboration - Data Analysis & Performance Optimization - Regulatory & Compliance Awareness Experience - Bachelor's degree in Marketing, Business, Communications, or a related field. - 1–3 years (Associate) or 3–5 years (Senior Associate) of experience in mobile gaming, sweepstakes, social casino, or consumer app marketing. LiveOps experience is a strong plus. - Experience with campaign management and CRM platforms (e.g., CleverTap, SpringBig, Braze) and analytics tools (e.g., Google Analytics, Tableau, AppsFlyer). - A/B testing and data-driven decision-making experience. - Familiarity with sweepstakes mechanics and promotional compliance requirements (no-purchase-necessary rules, prize fulfillment, applicable state regulations) is a strong plus. Total Starting Compensation including Base + Bonus: $120,114 Travel Requirement: Less than 10%

🏢 Summary: Senior Business Analyst role focused on driving growth, retention, and engagement in a B2C marketplace through data-driven strategy and experimentation. The position partners cross-functionally to design initiatives, run A/B tests, and deliver actionable insights that influence senior leadership decisions. It emphasizes building scalable analytical frameworks and translating complex data into measurable business outcomes. 🗂️ Requirements: 4–6 years experience in business analytics or business intelligence, Proficiency in SQL, Experience working with large, complex datasets, Strong knowledge of statistical analysis, Experience in data modeling, Experience designing and analyzing A/B tests, Experience with data visualization tools (Tableau, Looker, or Power BI), Ability to design and interpret experiments, Experience building analytical frameworks 📃 Skills: SQL, Statistics, Modeling, Experimentation, ABTesting, Tableau, Looker, PowerBI, Analytics, DataVisualization 🏢 Description: At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. ClassPass offers thousands of fitness and wellness experiences worldwide, helping people lead active, balanced lifestyles. Our platform makes discovering and enjoying activities simple, personalized, and joyful—whether it's fitness classes, self-care sessions, a healthy lunch, or a new adventure. Join us in shaping healthier, more vibrant communities around the globe.The Role You'll Play As a Senior Business Analyst, you will play a critical role in shaping and executing cross-departmental initiatives that drive growth, retention, and engagement across our B2C marketplace. This role goes beyond building dashboards or models—you'll use data as a strategic tool to influence decisions, experiment, and deliver measurable business outcomes. Partner with cross-functional teams (Product, Marketing, Finance, Operations) to design and measure strategic initiatives that improve marketplace performance. Translate complex data into clear narratives and strategic recommendations for senior leadership, influencing key business decisions. Design and implement A/B experiments to evaluate new strategies and measure business impact. Build scalable analytical frameworks to continuously monitor marketplace health and surface emerging opportunities or risks. Balance deep quantitative analysis with strong business intuition, ensuring insights are practical and decision-ready. Act as a thought partner to business leaders: proactively identifying questions to ask, hypotheses to test, and opportunities to pursue. Drive alignment across departments by presenting data-driven perspectives that clarify trade-offs and guide prioritization. The Experience You'll Bring 4–6 years of experience in business analytics, business intelligence, or a related quantitative field. Proven ability to translate complex problems into clear, human-centered solutions that drive business impact. Comfortable operating in ambiguity and thrive in fast-paced, dynamic environments. Strong business intuition with a natural curiosity to uncover the why behind the data. Excellent presentation and storytelling skills, with confidence in communicating to executives and non-technical stakeholders. A problem solver at heart—you care less about reporting for its own sake and more about shaping strategy through insights. Proficiency in SQL and hands-on experience working with large, complex datasets. Solid foundation in statistical analysis, data modeling, and experimentation design, including A/B testing. Familiarity with modern data visualization tools (e.g., Tableau, Looker, Power BI) to communicate insights effectively. Internally competitive and externally collaborative It is the Company's intent to pay all Team Members competitive wages and salaries that are motivational, fair and equitable. The goal of the Company's compensation program is to be transparent, attract potential employees, meet the needs of all current employees, and encourage Team Members to stay with our organization. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. The base salary range for this position in the United States is $99,450 to $132,600. The total compensation package for this position may also include a performance bonus, benefits and/or other applicable incentive compensation plansHave we piqued your curiosity? Sound like the role for you? We'd love to hear from you! Even if you're not 100% sure about potential fit, we still encourage you to apply. We're looking for the right person, not the perfect series of checkboxes. The Company is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics. By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at The Company, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice (as applicable).