Senior ML Engineer – Perception & AV Data

Torcrobotics

Michigan

On-site

USD 199,200 - 298,800

Full time

14 days+

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Benefits offered by this job

Competitive compensation package including bonuses
100% paid medical, dental, and vision premiums
401K plan with 6% employer match
Generous paid vacation and flexible scheduling
Life and AD+D insurance

Job summary

Torcrobotics, located in Michigan, seeks a skilled professional to lead AI advancements in autonomous vehicles. You will be involved in designing and implementing object detection and tracking modules, guiding less experienced team members, and ensuring the quality of automated systems.

Candidates should have extensive experience in robotics or a related field, with a solid understanding of machine learning frameworks like PyTorch. Your contributions will significantly improve operational efficiency in freight transportation.

Qualifications

  • 6+ years of experience in Computer Science, Robotics, or Electrical Engineering.
  • Expertise in developing offline perception models.
  • Ability to guide less experienced team members.

Responsibilities

  • Design and implement offline object detection and tracking modules.
  • Manage projects and guide team members in project execution.
  • Stay updated with AI and ML advancements for autonomous driving.

Skills

Active Learning & Pseudo‑labeling
Computer Vision
Deep Learning
Model Training
2D/3D Object Detection
Tracking
Sensor Fusion
Semantic Segmentation
Scaled ML Operations

Education

Bachelor's Degree in a relevant field
Master's Degree in a relevant field

Tools

Python
PyTorch
Docker
GitHub Actions

Job description

Torcrobotics, located in Michigan, seeks a skilled professional to lead AI advancements in autonomous vehicles. You will be involved in designing and implementing object detection and tracking modules, guiding less experienced team members, and ensuring the quality of automated systems.

Candidates should have extensive experience in robotics or a related field, with a solid understanding of machine learning frameworks like PyTorch. Your contributions will significantly improve operational efficiency in freight transportation.

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