Senior Engineering Manager, ML Platform
Waltham Office (POST), United States
USD 198K-300K Senior-level Full Time
Tasks
- Champion developer productivity
- Collaborate with ML research and engineering teams
- Communicate roadmap incidents and technical tradeoffs
- Define infrastructure roadmap
- Define platform architecture foundations
- Define team processes on call incident response engineering standards
- Design distributed training reliability performance cost efficiency
- Develop shared libraries for data transformation pipelines
- Ensure data pipelines quality freshness fault tolerance
- Establish data access lineage and governance standards
- Establish storage and pipeline framework standards
- Evaluate and adopt GPU TPU and accelerator hardware
- Lead ML platform team
- Make compute orchestration architecture decisions
- Mentor and develop engineers
- Oversee data storage indexing and retrieval systems
- Own GPU compute infrastructure strategy
- Participate in hiring and team leveling
Perks/Benefits
Skills/Tech-stack
Compute Orchestration | Cost Optimization | Data Governance | Data Lineage | Data Pipelines | Data Retrieval | Data Storage | Data Transformation | Data indexing | Distributed Systems | Engineering Management | Fault Tolerance | GPU Compute | Infrastructure architecture | Kubernetes | Machine Learning | Performance optimization | Ray | Slurm
Education
N/A
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