Job Description
This role involves building and improving scalable machine learning infrastructure to support autonomous driving systems, focusing on data management, model training, and system optimization within a self-driving technology company.
Key Responsibilities
- Build and improve data and machine learning systems for autonomous driving.
- Develop model training infrastructure for large-scale machine learning models.
- Collaborate with machine learning teams to identify issues and share knowledge.
- Provide feedback to model training teams using data and performance metrics.
- Design system architecture, optimize algorithms, and tune performance for high efficiency.
Requirements
- At least 3 years of hands-on experience in building scalable backend systems for training and evaluation of machine learning models.
- Understanding of machine learning, distributed systems, reliability and scalability, cloud platform, and common storage solutions.
- Ability to efficiently develop, debug, and support new technologies in a changing environment.
- Strong problem-solving skills and ability to write production-quality clean code.
Benefits & Perks
Compensation/salary range: $152,000 to $228,000 base pay, plus annual performance bonus, equity, and a competitive benefits package
Work schedule: Not explicitly specified
Work environment perks: Inclusive and diverse workplace fostering psychological safety
Additional benefits: Equity, performance bonus, and comprehensive benefits package
Ready to Apply?
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