Meet the team:
As part of an organization at the forefront of autonomous driving, we develop trajectory prediction & planning networks that enable the truck to make data-driven decisions to the scene around it. The Learned Vehicle Intent team works in partnership with Perception and Control teams to plan out the safest possible trajectory given the traffic, weather and environment around the truck.
What you’ll do:
Design, develop, optimize and deploy machine learning models for trajectory planning in our autonomous trucks. The Senior ML Engineer will work closely with the rest of the machine Learning teams and the Vehicle Intent Department to advance our capabilities in time-series forecasting for autonomous driving. The candidate will participate in all aspects of the software lifecycle, from defining the requirements, planning and designing the model, to implementing and testing, and finally, deployment and maintenance.
- 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
- Participate in technical discussions, brainstorming sessions, and other team meetings
- Develop and maintain thorough documentation for all developed models and associated code
- Provide mentorship and technical guidance to junior team members
What you’ll need to succeed:
- 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
Bonus Points!
- Doctorate Degree in Computer Science, Computer Engineering, Robotics, or equivalent with 2+ years relevant experience
Perks of Being a Full-time Torc’r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
- 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
