Senior ML Engineer: Learned Planning & RL (Remote)

Torcrobotics; Michigan; Hybrid; USD 226,400 - 271,700; Full time

Benefits offered by this job

100% paid medical, dental, and vision premiums

401K plan with a 6% employer match

Flexibility in schedule and generous paid vacation

Job summary

Torcrobotics is seeking a Senior Machine Learning Engineer to develop and deploy machine learning models for autonomous trucks. The role involves model development, collaboration with cross-functional teams, and improving model performance. Applicants should have experience in reinforcement learning, Python, and a relevant degree.

This position offers the flexibility of hybrid work from both Ann Arbor, MI and Blacksburg, VA, or remote options, along with a competitive benefits package including medical insurance and a generous bonus structure.

Qualifications

• Experience applying reinforcement learning to robotics or autonomous systems.
• Strong programming skills in Python and PyTorch.
• Experience with large-scale datasets and distributed computing.

Responsibilities

• Develop and deploy learned behavior models using reinforcement learning.
• Own end-to-end model development from data ingestion to deployment.
• Analyze model performance and iterate for improvements.

Skills

Python

PyTorch

Reinforcement Learning

Machine Learning

Robotics

Education

Bachelor’s degree in Computer Science, Robotics, or related field with 6+ years of experience

Master’s degree with 3+ years or PhD with 1+ years of experience

Job description

Torcrobotics is seeking a Senior Machine Learning Engineer to develop and deploy machine learning models for autonomous trucks. The role involves model development, collaboration with cross-functional teams, and improving model performance. Applicants should have experience in reinforcement learning, Python, and a relevant degree.

This position offers the flexibility of hybrid work from both Ann Arbor, MI and Blacksburg, VA, or remote options, along with a competitive benefits package including medical insurance and a generous bonus structure.