Senior Software Engineer, Machine Learning Tools (MLOps)
Skills
- Advanced Python programming
- Deep learning frameworks knowledge
- Distributed computing experience
- Software engineering principles
- Passion for self-driving technology
Responsibilities
- Support the development and maintenance of an automated, distributed pipeline for training, evaluating, and deploying machine learning models.
- Participate in the design and development of scalable ML infrastructure utilizing K8s and Ray.
- Implement metrics infrastructure for model introspection and performance evaluation.
- Deploy models to vehicles and assess their performance using relevant metrics.
- Collaborate with Machine Learning teams to enhance tools and processes throughout the ML development lifecycle.
Education
- Bachelor's degree in Machine Learning, Computer Science, or related field
- Master's degree preferred
Benefits
- Medical, dental, and vision insurance
- 401k with company match
- Health savings accounts
- Life insurance
- Pet insurance
Average salary estimate
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