Staff Machine Learning Scientist – Personalization (Open to Remote)
Tasks
- Adopt recommender system and LLM advances into production
- Define technical roadmap for personalization and recommender systems
- Deliver R and D shaping personalization roadmap
- Design offline evaluation methodology and metrics
- Develop software for personalization platforms
- Ensure multi service personalization meets SLAs
- Lead experimentation with A B testing
- Lead stakeholder communication and strategy alignment
- Mentor scientists and set code quality standards
- Monitor production model performance reliability
Perks/Benefits
- 401k
- Commuter benefits
- Dental insurance
- Educational assistance
- Health savings account
- Life and AD amp D insurance
- Long-term disability insurance
- Medical insurance
- Paid time off
- Short-term Disability Insurance
- Student loan repayment program
- Vision insurance
Skills/Tech-stack
A/B | A/B Testing | AWS | Automated retraining | B testing | CI/CD | Causal Inference | Computational Advertising | Data Pipelines | Databricks | Docker | Experimentation | Feature Store | Kubernetes | Low Latency | Low-Latency Systems | Machine Learning | Model Monitoring | Model Serving | Offline evaluation | Personalization | PyTorch | Python | Ranking | Recommender Systems | Retrieval | SQL | TensorFlow
Education
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