Senior Machine Learning Engineer, Planning

September 14

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Torc Robotics

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autonomous vehicles • automotive autonomy • self-driving cars • autonomous mobility • autonomous trucks

501 - 1000

Description

• Design, develop, optimize and deploy machine learning models for trajectory planning in our autonomous trucks. • Produce production deployed models and software • Contribute to the research, development, and improvement of machine learning models for end-to-end prediction, and planning • Collaborate with data scientists and other engineers to evaluate and improve the efficacy of these models • Develop software that is robust, efficient, and maintainable, always ensuring software quality • Participate in team meetings to share progress, collaborate on new ideas, and address any challenges • Stay updated on the latest developments in machine learning and autonomous driving. Evaluate how these can be utilized in our system • Work closely with the Vehicle Intent, Sensing and Understanding, and other autonomy teams to align on objectives and deliverables • Develop and maintain thorough documentation for all developed models and associated code • Provide mentorship and technical guidance to junior team members

Requirements

• Master’s degree in computer science, computer engineering, or engineering equivalent and 3+ years of relevant experience • Deep understanding of machine learning frameworks such as TensorFlow or PyTorch • Experience involving machine learning or related fields in a production environment • Hands-on experience with learning-based prediction, planning and control • Experience in autonomous driving systems, sensor fusion, and perception is a plus • Adept communication skills, able to articulate complex concepts to diverse audiences • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment • Advanced knowledge contributing to engineering and process creation and maintenance • Excellent time management and organizational skills to plan, develop, and prioritize effectively • May require occasional travel to other sites • Continuous technical education and training is required to stay updated in the field of machine learning and autonomous driving. • Ability to be flexible and may work extended hours/weekends/evenings when project demands • Ability to work and collaborate across locations over different time zones

Benefits

• A competitive compensation package that includes a bonus component and stock options • 100% paid medical, dental, and vision premiums for full-time employees • 401K plan with a 6% employer match • Flexibility in schedule and generous paid vacation (available immediately after start date) • Company-wide holiday office closures • AD+D and Life Insurance