Lead Machine Learning Engineer
Seattle, WA
USD 190K-260K Senior-level Full Time Found 23h ago
Tasks
- Architect ML infrastructure components
- Build automated training and deployment pipelines
- Collaborate with cross-functional teams to deliver ML solutions
- Design real-time and batch feature systems
- Embrace AI-first development and tools
- Establish MLOps best practices and standards
- Guide technical direction of ML platforms
- Improve inference latency and manage costs
- Lead ML projects across multiple teams
- Mentor engineers and influence ML strategy
Perks/Benefits
- Events and activities
- Flexible PTO
- Healthcare coverage
- Inclusive environment
- Ownership via equity
- Remote and hybrid work options
- Snacks
- Transportation subsidies
Skills/Tech-stack
AI Coding Assistants | AI coding | AI tools | Apache Spark | Cloud Native | Cloud-native infrastructure | Coding assistants | Data Engineering | Docker | Feature Engineering | Functional Programming | Kafka | Kubernetes | ML deployment | ML frameworks | MLflow | Machine Learning | Machine Learning Engineering | Model Development | Model Pipelines | Model Serving | Monitoring | Observability | Platform Architecture | Presto | Python | Scalability
Education
Language: en |
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