Staff Machine Learning Scientist – Personalization (Open to Remote)
Tasks
- Communicate strategy and progress to senior leadership
- Define personalization and recommender system roadmap
- Design software for multi team maintainability
- Ensure personalization services meet SLAs
- Establish experimentation best practices
- Implement new technologies and processes
- Lead model development to deployment
- Mentor scientists and set code quality standards
- Own personalization and recommender system output monitoring
- Perform offline evaluation and metrics design
- Present data-driven narratives to stakeholders
- Research recommender systems and LLM personalization and deploy improvements
- Resolve multi product multi team service incidents
- Run A/B testing
Perks/Benefits
- 401k
- Commuter benefits
- Dental insurance
- Educational assistance
- Health Care Flexible Spending Account
- 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 | Automated retraining | B testing | CI/CD | Causal Inference | Computational Advertising | Data Pipelines | Databricks | Docker | Experimentation platforms | Feature Stores | Kubernetes | LLM based Recommendation | LLMs | Low Latency | MLOps | Machine Learning | Merlin | Model Monitoring | Model Serving | NVTabular | Offline evaluation | Personalization | PyTorch | Python | Ranking | Recommender Systems | Representation Learning | Retrieval | SQL | TensorFlow | Triton
Education
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