Machine Learning Engineer
San Francisco, California, United States
USD 168K-198K Senior-level Full Time
Tasks
- Automate pipelines and build agentic workflows
- Build and deploy ML AI services
- Build evaluation frameworks and run experiments
- Create API layer for ML services
- Define API contracts with product engineers
- Deploy models and monitor performance
- Design develop and ship ML models and AI systems
- Implement monitoring and tests
- Translate business problems into ML solutions
Perks/Benefits
- Adoption reimbursement
- Commuter stipend
- Fertility reimbursement
- Flexible PTO
- Learning and development allowance
- Medical, dental & vision coverage
- Monthly wellness stipend
- Parental planning reimbursement
- Relocation stipend
- Wellness stipend
Skills/Tech-stack
APIs | Amazon SageMaker | Anthropic API | Asynchronous processing | CI/CD | Caching | Cost Management | DBT | Distributed Systems | Document processing | ELT | Entity Resolution | Error Handling | Function Calling | Horizontal scaling | Information Extraction | Language Processing | MLOps | MLflow | Model Evaluation | Natural Language | Natural Language Processing | OCR | Object-Oriented | Object-oriented programming | OpenAI API | Prompt engineering | PySpark | Python | Queues | Snowflake | Structured outputs | Summarization | Testing | Text Classification | Vertex AI
Education
Regions
Countries
States
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