Software Engineer, Core Machine Learning
Sunnyvale, CA | Bellevue, WA
USD 170K-251K (estimate) Senior-level Full Time
Tasks
- Architect ML infrastructure systems
- Build dashboards and alerting systems
- Build model serving platforms
- Conduct design reviews and architectural decisions
- Contribute to technical roadmap and stakeholder alignment
- Coordinate cross team dependencies and phased rollouts
- Create runbooks for incident mitigation
- Define service level objectives for ML platform services
- Deliver ML infrastructure initiatives end to end
- Develop AI accelerated developer workflows
- Develop feature computation pipelines
- Enforce testing strategies and safe rollout patterns
- Establish ML engineering best practices
- Evaluate performance reliability and developer experience trade offs
- Instrument and profile ML training and inference
- Lead ML platform design and implementation
- Mentor engineers on ML systems design and debugging
- Optimize ML training and inference performance bottlenecks
- Own distributed training frameworks
Perks/Benefits
- N/A
Skills/Tech-stack
Alerting | Dashboards | Distributed Training | Feature Engineering | Incident Management | Instrumentation | Learning frameworks | Machine Learning | Machine Learning Frameworks | Model Compression | Model Serving | Optimization | Performance Profiling | Profiling | PyTorch | Quantization | Ray | Reliability Engineering | Resiliency Testing | Responsible AI | Runbooks | Service Level | Service-Level Objectives | TensorFlow | Testing
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Engineering | Bachelor of Science in Computer Science
Roles
Regions
Countries
States
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