Senior Machine Learning Engineer
Tasks
- Define and enforce model lifecycle management standards
- Design and implement MLOps systems and platforms
- Implement CI CD pipelines using best practices
- Mentor teams on machine learning engineering deployment
- Monitor models and infrastructure for low latency inference
- Optimize data management strategies for performance
- Productionalize scalable machine learning models
- Support safe deployment strategies
Perks/Benefits
- Commuter benefits
- Dental insurance
- Employee assistance program
- Equity compensation
- Fitness discounts
- Flexible work schedules
- Health insurance
- Paid time off
- Parental leave
- Retirement matching
- Vision insurance
- Volunteer time off
- Well-being allowance
Skills/Tech-stack
Alerting | Backend Engineering | CI/CD | Cloud Computing | Data Ingestion | Data Pipelines | Distributed Systems | Feature Engineering | Golang | Low Latency | Low-Latency Systems | MLOps | Machine Learning | Model Deployment | Model Monitoring | Model Validation | Model versioning
Education
Bachelor of Engineering | Bachelor of Science | Master of Engineering | Master of Science | PhD
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