Engineer for Staff Autonomy - Machine Learning

About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, transport goods, and conduct business. A pioneer in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now part of the Daimler family, we are solely focused on developing software for automated trucks to transform how the world moves goods. Join us and launch your career with the company that helped pioneer autonomous technology and the first AV software enterprise with the vision to partner directly with a truck manufacturer. Meet the Team: The VI Research team works on the design, development, and optimization of machine learning models for prediction and planning in our autonomous trucks. Team members are involved in all aspects of the software lifecycle, from defining the requirements, planning and designing the model, to implementation and testing, and finally, deployment and maintenance. What you'll do: - Contribute to the research, development, and improvement of machine learning models for end-to-end perception, prediction, and planning. - Collaborate with data scientists and other engineers to evaluate and enhance the effectiveness 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 while evaluating how these can be utilized in our system. - Work closely with the Sensing and Understanding & Vehicle Intent Departments and other teams to align on objectives and deliverables. - Participate in technical discussions, brainstorming sessions, and other team meetings. - Develop and maintain comprehensive documentation for all developed models and associated code. - Provide mentorship and technical guidance to junior team members. What you’ll need to Succeed: - A Ph.D. in Computer Science, Computer Engineering, Robotics, or equivalent with 2+ years of relevant experience OR - A Master’s Degree in these fields with 5+ years of relevant experience OR - A Bachelor’s Degree in these fields with 8+ years of relevant experience. - Proven experience designing and developing machine learning models, particularly in the context of autonomous systems. - Deep understanding of machine learning frameworks such as TensorFlow or PyTorch. - At least 2 years of experience in a technical role involving machine learning or related fields. - Hands-on experience with learning-based prediction, planning, and control. - Experience in autonomous driving systems, sensor fusion, and perception is a plus. - Strong communication skills, along with an ability 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. - Strong time management and organizational skills to plan, develop, and prioritize effectively. Bonus Points! - A publication record in top venues in computer vision and/or machine learning, such as CVPR, ICCV, ICRA, IROS, RSS, ISMAR, ECCV, NeurIPS, ICLR, and SIGGRAPH. At Torc, we’re committed to fostering a diverse and inclusive workplace. We celebrate the uniqueness of our teams and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply. We’re always looking for those who are hungry, humble, and people smart, and your unique experience may be a great fit for this role or others.