Senior Machine Learning Engineer, Recommendation and Personalization
Los Angeles, California, United States; San Francisco, CA, United States
R
USD 185K-225K Senior-level Full Time
Tasks
- Design and implement recommendation algorithms
- Develop end-to-end machine learning pipelines
- Evaluate and deploy machine learning models
- Integrate personalization solutions with other services
- Monitor model performance and bias
- Optimize models for accuracy latency and scalability
- Perform feature engineering and model training
- Prototype and evaluate generative recommendation approaches
- Research machine learning algorithms for recommendation systems
- Run A B testing and experimentation
Perks/Benefits
- 401k employer match
- Commuter benefit
- Dental insurance
- Dependent Care Flexible Spending Account FSA
- Flexible time off
- Health Care Flexible Spending Account FSA
- Health Savings Account (HSA)
- Health insurance
- Life insurance
- Pet insurance
- Pet-friendly office
- Support for new parents
- Vision insurance
Skills/Tech-stack
A/B | A/B Testing | AWS | AWS SageMaker | Apache Spark | B testing | Collaborative Filtering | Content-Based Models | Content-based | Databricks | Deep learning | Docker | GCP | Generative AI | MLOps | MLflow | Machine Learning | PyTorch | Python | Recommendation Systems | Scikit-learn | TensorFlow
Education
Regions
Countries
States
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