Senior Applied Scientist
Los Angeles, California, United States; San Francisco, CA, United States
R
USD 185K-230K Senior-level Full Time
Tasks
- Analyze feedback loops and cross domain interactions
- Communicate model tradeoffs and findings
- Define and analyze online experiments
- Design offline recommender evaluation frameworks
- Develop user content and contextual features
- Establish experimentation reproducibility and governance best practices
- Frame business questions as scientific problems
- Lead recommendation research and development
- Prototype recommendation modeling approaches
- Translate research into production solutions
Perks/Benefits
- 401k plan
- Commuter benefit
- Dental insurance
- FSA program
- Flexible time off
- HSA program
- Health insurance
- New parent support
- Pet insurance
- Vision insurance
Skills/Tech-stack
A/B | A/B Testing | B testing | Bandit Algorithms | Causal Inference | Causal Uplift | Cloud Machine Learning | Collaborative Filtering | Content-Based Filtering | Content-based | Data Processing | Deep learning | Distributed data | Distributed data processing | Experimental Design | Feature Engineering | Graph Neural Networks | Machine Learning | Model Governance | Multi-Objective Optimization | Neural Networks | Objective optimization | Offline evaluation | Online Experimentation | Personalization | PyTorch | Python | Ranking | Recommendation Systems | Representation Learning | Reproducibility | Retrieval | SQL | Scikit-learn | Sequence Modeling | Statistics | TensorFlow | XGBoost
Education
Regions
Countries
States
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