Senior Machine Learning Engineer, Recommendations
Tasks
- Build tooling for rapid model iteration
- Define machine learning engineering and MLOps best practices
- Design build and deploy recommendation machine learning solutions
- Monitor deployed model performance
- Own full machine learning lifecycle
- Scale ML infrastructure for deployment and lifecycle management
- Translate research into production systems
Perks/Benefits
- Employee equity plan
- Flexible vacation
- Gym membership
- Professional development allowance
- Relocation support
- Work from home
Skills/Tech-stack
Amazon Web Services | Apache Spark | Cloud platform | Collaborative Filtering | Confluent | Google Cloud | Google Cloud Platform | MLOps | Matrix Factorization | Microsoft Azure | Model Monitoring | Multi-Objective Optimization | Nearest neighbor | Objective optimization | Python | Scala | Two-Tower | Vector Search | Web Services
Education
Regions
Countries
States
Cities
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