Machine Learning Engineer, II - 3D Perception
Torc Robotics · Remote, U.S, Ann Arbor, MI, Fort Worth, TX, Blacksburg, VA
Posted about 2 months ago
or apply directly on Torc Robotics's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 71 days Torc Robotics's roles stay open a median of 78 days
- Reposted
- No
- Salary listed
- No 11% of Torc Robotics's roles list one
- Ghost-job risk at Torc Robotics
- high 54 stale, 0 reposted of 56 open
- Hiring momentum
- 93 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-22
Measured from postings appearing on and disappearing from Torc Robotics's own greenhouse board since 2026-08-03. Full hiring picture for Torc Robotics.
About this role
As a Machine Learning Engineer II focused on 3D perception at Torc, you will design and enhance machine learning models that enable autonomous trucks to understand their environment. Your responsibilities include developing production-quality code in Python and PyTorch, analyzing model performance, and collaborating with cross-functional teams to integrate perception systems into larger software frameworks. You will also mentor junior engineers and contribute to improving training and evaluation processes.
- benefits
- 3/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Torc Robotics as an employer.
What you need
- Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 4+ years of relevant industry experience, OR Master's degree with 3+ years of relevant experience, or equivalent practical experience
- Experience developing machine learning models for computer vision, perception, robotics, autonomous systems, or a closely related domain
- Strong programming skills in Python and PyTorch, with experience writing maintainable, production-quality machine learning code
- Experience training, evaluating, and improving deep learning models using large-scale datasets
- Experience working with image-based and/or 3D perception systems
- Solid understanding of deep learning architectures commonly used for perception applications
Nice to have
- Experience developing perception systems for autonomous driving, robotics, or ADAS
- Experience with LiDAR, point cloud processing, sensor fusion, BEV representations, or other 3D perception techniques
- Experience with temporal perception models or video-based learning
- Experience with C++, ROS, or robotics software development
- Experience deploying machine learning models into production autonomy or robotics platforms
What you get
- A competitive compensation package that includes a bonus component and stock options
- 100% paid medical, dental, and vision premiums for full-time employees
- 401K plan with a 6% employer match
- Flexibility in schedule and generous paid vacation (available immediately after start date)
- Company-wide holiday office closures
- AD+D and Life Insurance
Worth weighing
- No specific mention of remote work limitations or expectations
- The role involves mentoring, which may require strong interpersonal skills
- The job requires collaboration with various teams, indicating a potentially dynamic work environment
Summarised from Torc Robotics's posting. Read the full original.
Listed by Torc Robotics on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.
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