Production Engineer - Applied Machine Learning
San Jose, California, United States
USD 162K-387K Mid-level Full Time
Tasks
- Automate inspections pre flight checks and capacity forecasting
- Build reliability mechanisms for SLO SLA observability alerting and incident response
- Implement CI CD canary releases and automated rollback for deployments
- Manage production stability for machine learning training inference and storage systems
- Oversee resource governance for compute storage network including quota management cost attribution and performance tuning
Perks/Benefits
- 401k match
- Dental insurance
- Life insurance
- Long-term disability
- Medical insurance
- Paid Holidays
- Paid parental leave
- Paid personal time
- Paid sick days
- Short-term disability
- Vision insurance
- Wellbeing benefits
Skills/Tech-stack
Alerting | Auto Scaling | Auto rollback | C++ | CI/CD | Canary Releases | Capacity forecasting | Cost attribution | Disaster Recovery | Distributed Training | GPU clusters | Go | Incident Management | Kubernetes | Linux | Machine Learning | NoSQL | Observability | On-Call | Online Inference | Performance Tuning | Python | Quota Management | Resource Governance | Shell
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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