Staff Machine Learning Scientist – Personalization (Open to Remote)
Tasks
- Build recommender system software
- Communicate strategy to leadership
- Define technical roadmap
- Deploy models to production
- Design experimentation best practices
- Design metrics for personalization
- Develop personalization models
- Implement new technologies and processes
- Lead technical decisions
- Maintain multi service personalization systems
- Mentor machine learning scientists
- Monitor recommendation outputs
- Perform offline evaluation
- Resolve service incidents
- Run A/B tests
- Stay current with recommender systems advances
Perks/Benefits
- 401k
- Commuter benefits
- Dental insurance
- Educational assistance
- Health savings account
- Life 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 | B testing | CI/CD | Causal Inference | Databricks | Docker | Experimentation | Feature Engineering | Feature Store | Kubernetes | Low Latency | MLOps | Model Monitoring | Model Serving | Offline evaluation | PyTorch | Python | SQL | TensorFlow
Education
Regions
Countries
States
Cities
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