Senior Machine Learning Engineer, Recommendations
Tasks
- Build machine learning infrastructure and MLOps tooling
- Collaborate with ML engineers on shared infrastructure
- Design build and deploy recommendation models
- Own machine learning lifecycle from prototyping and evaluation to production
- Translate research into production systems
- Use agentic workflows to accelerate development
Perks/Benefits
- 401k
- Dental insurance
- Employee equity plan
- Flexible vacation
- Gym membership
- Health benefits
- Mental health resources
- Paid parental leave
- Professional development allowance
- Vision insurance
Skills/Tech-stack
AWS | Apache Spark | Azure | Cloud Computing | Collaborative Filtering | GCP | MLOps | Machine Learning | Matrix Factorization | Model Monitoring | Multi-objective ranking | Nearest neighbor | Python | Scala | Two-Tower | Two-Tower architecture | Vector Search
Education
Regions
Countries
States
Cities
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