Staff Machine Learning Engineer, Recommendation Systems
Tasks
- Build multi objective optimization pipelines
- Debug ML systems under load
- Deploy and monitor machine learning models
- Design and build production ML systems
- Identify and fix tooling process and technical debt issues
- Implement retrieval and ranking pipelines
- Improve testing experimentation monitoring and system design
- Lead technical projects from design to rollout
- Partner with applied scientists to productionize models
- Review designs and mentor engineers
- Set recommendation system technical direction
- Translate stakeholder needs into reusable infrastructure
Perks/Benefits
- 401k
- Accidental death and dismemberment insurance
- Dental insurance
- Equity opportunity
- Extended maternity leave
- Extended paternity leave
- Flexible spending account
- Health savings account
- Language learning program
- Learning platform
- Life insurance
- Medical insurance
- Mental Health and Wellness Assistance
- Relocation assistance
- Vision insurance
- Work from home allowance
Skills/Tech-stack
Apache Spark | Data Consistency | Debugging | Distributed Systems | Embeddings | Experiment tracking | Experimentation | Incident Response | Information Retrieval | Machine Learning | Model Deployment | Model Training | Monitoring | Multi-Objective Optimization | Objective optimization | On-Call | Operational On Call | Python | Ranking | Recommendation Systems | Retrieval-augmented systems | Scala | Sequence Modeling
Education
N/A
Regions
Countries
States
Cities
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