Machine Learning Engineer, II – 3D Perception

🕒 August 11

🚗 Michigan, Texas, +1 more states – Remote

🚗 Michigan – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote

💵 $153.2k - $183.8k / year

⏰ Full Time

🟢 Junior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Torc Robotics

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2007

🚘 Automotive

📦 Logistics

🚗 Transport

Automotive • Logistics • Transport

Torc Robotics is an innovative company focused on commercializing self-driving trucks for long-haul freight transportation. As an independent subsidiary of Daimler Truck, the company is developing autonomous technology, primarily focusing on the Freightliner Cascadia. Torc is committed to safe transportation, continuously improving its solutions through rigorous testing and integration of industry-leading sensors. It collaborates with fleet management companies to deploy real-world autonomous solutions, aiming to lead the industry in autonomous trucking.

📋 Description

• Design, develop, and improve machine learning models supporting Torc's perception systems • Own model development and delivery for defined perception problem areas, from data preparation and training through evaluation and integration • Write production-quality Python and PyTorch code for scalable training, evaluation, and inference workflows • Analyze model performance, identify failure modes, and troubleshoot issues to improve robustness, accuracy, and generalization • Develop and evaluate perception models using multi-modal sensor data, especially camera-based and 3D perception systems • Collaborate with software engineers, infrastructure teams, and autonomy engineers to integrate perception models into production software systems • Improve training pipelines, data workflows, experimentation tooling, and developer workflows • Participate in model architecture discussions and provide technical recommendations • Lead small technical initiatives or model components with guidance from senior engineers • Support and mentor Machine Learning Engineer I team members • Document technical work, evaluation results, and design decisions

🎯 Requirements

• Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or related technical field with 3+ years of relevant industry experience, OR Master's degree with 1+ 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, including 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 used for perception applications • Experience debugging model behavior, analyzing performance metrics, and proposing practical improvements • Ability to independently execute complex machine learning work within well-defined problem areas • Experience collaborating cross-functionally to integrate machine learning models into larger software systems • Strong problem-solving skills in an environment with evolving technical challenges and requirements • Bonus: experience with autonomous driving, robotics, or ADAS perception systems • Bonus: experience with LiDAR, point cloud processing, sensor fusion, BEV representations, temporal perception models, video-based learning, C++, ROS, robotics software development, production ML deployment, distributed training, perception evaluation frameworks, ML tooling, or technical initiative ownership

🏖️ Benefits

• 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 • Generous paid vacation available immediately after start date • Company-wide holiday office closures • AD+D and Life Insurance • Potential sign-on payments, relocation, and other forms of compensation depending on the position offered • Medical, financial, and other benefits

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