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Tech Stack
Tools & technologiesDistributed SystemsPyTorchRay
About the role
Key responsibilities & impact- design, build, and ship machine learning models that optimize messaging across push, email, and in-app channels
- plan and run A/B experiments in a multi-objective environment, balancing conversion, engagement, retention, and reachability
- contribute to reinforcement learning systems that optimize for long-term user outcomes rather than immediate interactions
- partner with product managers, data scientists, and engineers to define what success looks like and how to measure it
- own the full ML lifecycle, from data and modeling to deployment, monitoring, and iteration
- integrate ML models with upstream systems, including domain value signals and opportunity generation frameworks
- help shape the future of AI-assisted development within the team, exploring how tools can accelerate experimentation and delivery
Requirements
What you’ll need- strong experience building and deploying machine learning models in production environments at scale
- comfortable translating business problems into ML solutions and discussing trade-offs with cross-functional partners
- worked on complex optimization problems such as ranking systems or multi-objective decision-making
- hands-on experience with PyTorch and distributed systems such as Ray or similar frameworks
- understand experimentation deeply and can design reliable tests in environments with interacting metrics
- able to analyze results using approaches like causal inference or metric decomposition when needed
- experience with or curiosity about reinforcement learning and long-term optimization systems
- enjoy working across disciplines and navigating ambiguity while shaping strategy and direction
Benefits
Comp & perks- flexible to work where you work best
- some in person meetings, but still allows for flexibility to work from home
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningA/B testingreinforcement learningoptimizationdata modelingdeploymentmonitoringcausal inferencemetric decompositionranking systems
Soft Skills
cross-functional collaborationproblem-solvingstrategic thinkingcommunicationadaptabilitynavigating ambiguityanalytical thinkingcreativityteamworkleadership