Senior Machine Learning Engineer - Motion Planning & Model Introspection

Who you are

You have 5+ years of experience in machine learning engineering, with a strong focus on developing and maintaining software systems that support complex algorithms. Your expertise in Python allows you to build robust applications that can handle intricate motion planning tasks. You are familiar with machine learning frameworks such as TensorFlow and Keras, which you have used to implement and optimize models effectively.

You possess a deep understanding of motion planning algorithms and the challenges associated with debugging and introspecting machine learning models. Your analytical skills enable you to dissect complex behaviors and provide insights that improve system performance. You thrive in collaborative environments, working closely with autonomy software engineers to create tools that enhance understanding and debugging capabilities.

Your experience includes developing introspection techniques that help teams visualize and interpret the behavior of motion planners. You are adept at translating technical concepts into actionable insights for both technical and non-technical stakeholders. You are committed to continuous learning and staying updated with the latest advancements in machine learning and software engineering practices.

Desirable

Experience with robotics or autonomous systems is a plus, as it provides context for the challenges faced in motion planning. Familiarity with additional programming languages or tools that complement your Python skills can enhance your contributions to the team.

What you'll do

In this role, you will design and build software that supports the introspection of machine learning-based motion planners. You will be responsible for developing techniques that allow engineers to understand and debug the behavior of motion planning algorithms. Your work will directly impact the performance and reliability of autonomous systems, making it crucial for the success of the team.

You will collaborate with autonomy software engineers to create tooling that enhances the debugging process. This includes developing user-friendly interfaces and visualization tools that simplify the analysis of motion planning behavior. You will also engage in code reviews and provide mentorship to junior engineers, fostering a culture of knowledge sharing and continuous improvement.

Your responsibilities will include conducting experiments to validate the effectiveness of introspection techniques and iterating on your designs based on feedback from users. You will document your findings and contribute to the development of best practices for machine learning model introspection within the organization.

What we offer

At Zoox, you will be part of a forward-thinking team that is dedicated to revolutionizing transportation through autonomous technology. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will work in a collaborative environment that values innovation and encourages you to push the boundaries of what is possible in machine learning and robotics.

Join us in our mission to create safe and efficient autonomous vehicles that enhance mobility for everyone. Your contributions will play a vital role in shaping the future of transportation, and we are excited to support your journey with us.