Senior Production Engineer - Applied Machine Learning
San Jose, California, United States
USD 218K-480K Senior-level Full Time
Tasks
- Automate inspections and pre flight checks
- Build CI/CD pipelines
- Conduct disaster recovery and incident reviews
- Deploy canary releases
- Diagnose faults and perform auto healing
- Enable auto rollback
- Ensure production stability
- Forecast capacity
- Handle scheduling and orchestration
- Implement elastic auto scaling
- Implement reliability engineering for SLO SLA
- Maintain parameter server storage
- Manage distributed training
- Manage production systems for machine learning training
- Manage resource governance for compute storage and network
- Operate Kubernetes GPU clusters
- Perform quota management and cost attribution
- Run on call incident response
- Serve online inference
- Set up observability and alerting
- Tune performance for availability
Perks/Benefits
- 401k matching
- Dental insurance
- Disability coverage
- Health insurance
- Life insurance
- Paid Holidays
- Paid parental leave
- Paid personal time
- Paid sick days
- Vision insurance
- Wellbeing benefits
Skills/Tech-stack
Alerting | Auto Scaling | Auto rollback | C++ | CI/CD | Canary Deployment | Capacity Planning | Disaster Recovery | Distributed Training | FinOps | GPU | Go | Incident Management | Kubernetes | Linux | Machine Learning | NoSQL | Observability | Online Inference | Parameter Server | Performance Tuning | Python | Resource Governance | SLA | SLO | Shell
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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