Job Description
The role involves leading the Training ML Infrastructure team at Nuro, focusing on developing and optimizing distributed training platforms for machine learning models to enhance performance and efficiency in autonomous driving technology.
Key Responsibilities
- Define and execute the technical vision and roadmap for the Training ML Infrastructure team
- Lead, mentor, and grow a team of engineers to promote technical excellence and collaboration
- Collaborate with ML teams to ensure smooth adoption of infrastructure solutions
- Promote engineering best practices and foster continuous improvement within the team
- Drive initiatives in distributed training and training optimization to enhance model performance
Requirements
- 6 years of work or research experience in ML Infra, distributed training, or distributed systems in ML domain
- Proven leadership experience managing and growing high-performing engineering teams, with a demonstrated ability to mentor and inspire technical talent
- Knowledge in using at least one deep learning framework, e.g., Tensorflow, Pytorch, or JAX
- Ability to understand deep learning algorithms, e.g., computer vision, NLP, behavior planning
- Strong communication and teamwork skills
- Passion for exploring and promoting cutting edge technology
Benefits & Perks
Compensation/salary range between $202,350 and $303,050 depending on experience and qualifications
Annual performance bonus
Equity options
Competitive benefits package
Ready to Apply?
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