Senior Machine Engineer, ML Systems and Infrastructure
AMER - United States - Massachusetts - Boston - Drydock, United States
R
USD 146K-235K (estimate) Senior-level Full Time
Tasks
- Build experiment tracking and model versioning capabilities
- Collaborate with researchers and product engineers to productionize ML workflows
- Design and build scalable ML training and evaluation systems
- Develop and improve large-scale data pipelines
- Identify and resolve bottlenecks in data compute orchestration and observability
- Implement model deployment inference services and monitoring
- Improve data quality lineage provenance and transparency
- Mentor engineers through code reviews and design guidance
- Optimize distributed workflows for performance reliability and cost
Perks/Benefits
Skills/Tech-stack
AWS | Apache Airflow | Apache Spark | Azure | CI/CD | Checkpointing | Cloud Platforms | Cloud platform | Containers | Data Engineering | Data Governance | Data Lineage | Data Pipelines | DeepSpeed | Distributed Systems | Experiment tracking | FSDP | Google Cloud | Google Cloud Platform | Inference services | Machine Learning | Megatron | Model Deployment | Model versioning | Monitoring | Observability | Provenance | PyTorch | PyTorch Lightning | Python | Ray | Reproducibility
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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