Senior Machine Learning Engineer for Autonomous Trucks

7 days ago


Ann Arbor, Michigan, United States TORC Robotics Full time
Company Overview
TORC Robotics is a pioneering company in autonomous vehicle technology, with a strong focus on developing software for automated trucks. Our organization has spent over a decade commercializing our solutions with experienced partners, and we are now committed to advancing our capabilities in time-series forecasting. Join us in shaping the future of transportation

Salary
The estimated annual salary for this position is $177,300-$212,800 USD, based on qualifications and experience. Our compensation package includes a bonus component and stock options, demonstrating our commitment to attracting and retaining top talent. Additionally, we offer comprehensive healthcare benefits, ensuring that our team members have access to quality medical, dental, and vision care.

Job Description
We are looking for an experienced Senior Machine Learning Engineer to join our team and contribute to the development of advanced trajectory planning systems for autonomous trucks. As part of this role, you will work closely with other teams to advance our capabilities in time-series forecasting, collaborating with data scientists and engineers to evaluate and improve model efficacy. You will also participate in all aspects of the software lifecycle, from defining requirements to deployment and maintenance.

Required Skills and Qualifications
To succeed in this role, you will need:
  • A Master's degree in computer science, computer engineering, or an equivalent field, along with 3+ years of relevant experience.
  • A 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.
  • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.

Benefits
We offer a range of benefits to support the well-being and career growth of our team members, including a flexible schedule, generous paid vacation, company-wide holiday office closures, AD+D, and Life Insurance. Our goal is to create a collaborative, energetic, and team-focused culture that fosters continuous learning and professional development.

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