Torc Robotics logoTorc Robotics logo

Machine Learning Engineer II - Learned Behaviors

Torc RoboticsRemote - US, Ann Arbor, MI, Montreal, Canada, Remote - Canada
Remote Full-time

Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.


Experience Level

Experience

Qualifications

Qualifications:Experience with machine learning frameworks and libraries. Proficiency in programming languages such as Python and C++. Understanding of algorithms related to behavior modeling and reinforcement learning. Strong analytical skills and the ability to work collaboratively in a team environment.

About the job

Join Our Innovative Team:
As a Machine Learning Engineer II – Learned Behaviors, you will play a pivotal role in crafting and deploying sophisticated behavior models that drive decision-making in autonomous truck operations. Collaborating closely with teams in perception, prediction, planning, and safety, your contributions will enhance learned behavior modules that facilitate safe, efficient, and human-like driving in real-world freight environments.

This position centers on developing, validating, and optimizing machine learning models and infrastructure that underpin learned behavior systems within our autonomy stack.

Key Responsibilities:

  • Develop and train advanced machine learning models for learned behavior systems, utilizing techniques such as behavior cloning, imitation learning, and reinforcement learning.
  • Implement production-ready ML code to enhance model training, evaluation, and inference processes within the autonomy framework.

About Torc Robotics

Torc Robotics is at the forefront of autonomous vehicle technology, dedicated to creating safe and efficient transportation solutions. Our innovative team is passionate about developing cutting-edge technologies that will transform the future of freight operations.

Similar jobs

Browse all companies, explore by city & role, or SEO search pages.

Tailoring 0 resumes

We'll move completed jobs to Ready to Apply automatically.