Senior ML Engineer, End-to-End Autonomy (Remote-Friendly)

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

Benefits offered by this job

Competitive compensation package including bonus and stock options

100% paid medical, dental, and vision premiums

401K plan with 6% employer match

Generous paid vacation

Company-wide holiday closures

Job summary

Torcrobotics is seeking a Senior Machine Learning Engineer in Michigan to enhance their autonomous driving capabilities. You will be responsible for developing and scaling machine-learning models to improve driving behavior based on multi-modal perceptions.

With a strong emphasis on collaboration across various teams and environments, this role provides multiple opportunities for innovation in the evolving field of automated truck technologies.

Qualifications

• 6+ years with Bachelor's, 4+ years with Master's, or 0–2 years with PhD in relevant field.
• Experience with developing autonomous systems and ML deployment.
• Strong command of ML architectures and modeling processes.

Responsibilities

• Develop and deliver End-to-End ML models for driving-relevant outputs.
• Analyze and improve model performance leveraging large-scale datasets.
• Collaborate with teams to integrate ML systems into the autonomy stack.

Skills

Machine Learning

Python

PyTorch

Data Analysis

Education

Bachelor's degree in Machine Learning, Robotics, or related field

Master's degree in related field

PhD in related field

Tools

Distributed Training Frameworks (e.g., Ray)

Simulation Tools

Job description

Torcrobotics is seeking a Senior Machine Learning Engineer in Michigan to enhance their autonomous driving capabilities. You will be responsible for developing and scaling machine-learning models to improve driving behavior based on multi-modal perceptions.

With a strong emphasis on collaboration across various teams and environments, this role provides multiple opportunities for innovation in the evolving field of automated truck technologies.