Machine Learning Scientist
Culver City, California, United States
USD 167K-185K Senior-level Full Time
Tasks
- Apply reinforcement learning contextual bandits and online learning
- Balance exploration and exploitation
- Build recommendation ranking and personalization systems
- Build training evaluation deployment and inference pipelines
- Conduct experiments to measure product impact
- Deploy machine learning models to production
- Design reward feedback and objective functions
- Evaluate model performance
- Optimize model accuracy latency scalability and reliability
- Perform offline policy evaluation and counterfactual evaluation
- Process structured and unstructured data with Python and SQL
- Train production machine learning models
Perks/Benefits
- 401k matching
- Dental insurance
- Discretionary PTO
- Gym access
- Medical insurance
- Stock options
- Vision insurance
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Causal reasoning | Contextual Bandits | Counterfactual evaluation | Decision Making | Deep learning | Embeddings | Exploration Vs Exploitation | Machine Learning | Neural Networks | Offline Policy Evaluation | Online Learning | Personalization | Policy Evaluation | Python | Ranking Systems | Recommendation Systems | Reinforcement Learning | Representation Learning | SQL | Sequence Modeling | Sequential decision making
Education
Regions
Countries
States
Cities
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