Senior Machine Learning Engineer
Tasks
- Build automation and tooling
- Build workload execution patterns
- Collaborate with ML systems and platform teams
- Debug infrastructure level issues
- Design ML infrastructure systems
- Improve distributed inference workloads
- Improve distributed training workloads
- Operate ML infrastructure systems
- Orchestrate workloads in shared GPU environments
- Troubleshoot ML stack performance issues
- Troubleshoot ML stack reliability issues
- Troubleshoot ML stack scalability issues
Perks/Benefits
- 401k
- Employee assistance program
- Flexible PTO
- Flexible spending account
- Health savings account contributions
- Life insurance
- Long-term disability insurance
- Paid Holidays
- Paid medical dental vision insurance
- Parental leave
- Short-term Disability Insurance
- Stock options
Skills/Tech-stack
Automation | Distributed Training | Distributed inference | GPU | Go | Kubernetes | Linux | Machine Learning | Performance debugging | Python | Scalability | Slurm | Workload Orchestration
Education
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