The Machine Learning Tools (ML Tools) team is responsible for developing and maintaining an advanced in-house machine learning ecosystem designed to build, train, and deploy models.
The team collaborates closely with downstream teams to innovate and advance cutting-edge deep learning techniques for novel on-road machine learning applications.
Key responsibilities include supporting the development and maintenance of an automated, distributed pipeline for training, evaluating, and deploying machine learning models to vehicles.
The role involves participating in the design and development of scalable ML infrastructure utilizing K8s and Ray.
The engineer will implement metrics infrastructure for model introspection and performance evaluation.
The position requires deploying models to vehicles and assessing their performance using relevant metrics.
The engineer will work closely with Machine Learning teams to enhance tools and processes throughout the ML development lifecycle.
Requirements:
A Bachelor's or Master's degree in Machine Learning, Computer Science, or a related field, with relevant experience is required.
Candidates must have 3+ years of hands-on experience with Python.
Familiarity with deep learning frameworks such as PyTorch is necessary.
Experience with distributed computing frameworks like K8s and Ray is required.
A strong knowledge of software engineering principles is essential.
A passion for self-driving technology is a must.
Benefits:
Motional offers a comprehensive benefits program that includes medical, dental, and vision coverage.
Employees can participate in a 401k plan with a company match.
Health savings accounts and life insurance are part of the benefits package.
Additional benefits include pet insurance and more.
The salary range for this role is between $168,000 - $225,000 USD, with potential for bonuses or company equity.
