Torc Robotics, Inc.
Senior Machine Learning Engineer – Road & Lane Detection Ann Arbor, Michigan, Un
Torc Robotics, Inc., Ann Arbor, Michigan, us, 48113
Senior Machine Learning Engineer – Road & Lane Detection
Meet the Team
At Torc Robotics, we're on a mission to revolutionize freight movement through safe, efficient, and reliable autonomous driving technology. Backed by Daimler Truck, we are industry leaders in Level 4 autonomous vehicle systems, with decades of innovation and a clear path to commercialization. Join our growing Model Development team and directly contribute to our world-class machine learning systems for Road & Lane detection– a critical function in enabling AV perception and path planning. We are seeking a highly motivated Senior Machine Learning Engineer to join our Road & Lane Detection team focused on developing robust models that predict static and semi-static road features (lanes, intersections, boundaries, driveable space, etc). You will be responsible for designing and implementing state-of-the-art deep learning models that enable our autonomous vehicles to understand and anticipate road structures in diverse environments. This is a hands-on applied research and development role, with direct impact on Torc’s core autonomy stack. What You’ll Do Design, train, and deploy deep learning models for road and lane topology prediction, including drivable space, lane boundaries, and intersection structures. Build and optimize neural network architectures that leverage multi-modal sensor data (camera, LiDAR, radar) and SD/HD map context. Collaborate with teams across perception, mapping, planning, and systems integration to ensure seamless performance in real-world autonomous driving. Lead model ablation studies, error analysis, and performance validation using large-scale simulation and real-world datasets. Develop tooling and workflows to automate training, experimentation, and evaluation of ML models. Mentor junior engineers and contribute to technical leadership within the ML modeling group. What You’ll Need to Succeed Bachelor's degree in computer science, data science, artificial intelligence or related field with 6+ years of professional experience or a master's degree with 4+ years of experience Hands on experience with segmentation tasks like lane prediction, free space segmentation, etc. State of the Art AV experience with multi-sensor data, especially in perception systems for autonomous vehicles or robotics. Mastery of Python and PyTorch, with the ability to transition research level code to production and deployment ready standards Proficiency in Python, and familiarity with modern ML Ops tools and GPU-based training. Prior experience in autonomous driving, robotics, or similar safety-critical domains. Experience with LiDAR, radar, or 3D spatial data processing. Knowledge of performance metrics for perception and prediction tasks (IoU, FDE, ADE, mAP). Bonus Points PhD in machine learning or data science Proficient in writing CUDA kernels and developing custom PyTorch operations. Experience with relevant NVIDIA libraries and frameworks, such as CUBLAS, CuDNN, and NPP Proficiency with Ray Publications or contributions to open-source ML projects. C++ skills or experience integrating ML into production autonomy systems. Perks of Being a Full-time Torc’r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: 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) AD+D and Life Insurance Apply for this job
* indicates a required field First Name * Last Name * Preferred First Name Email * Phone Country Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Are you local to Ann Arbor, MI? * Select... How did you first hear about this job? Please list the site, event, or person that referred you. * What is your availability or desired start date? * What are your salary expectations? * Are you legally authorized to work in the United States for TORC Robotics? * Select... Do you require or will you require sponsorship for employment visa status (e.g., H-1B visa status, etc.) to work legally in the United States for TORC Robotics? * Select... U.S. Export Control Requirements - Are you a citizen, national, or resident of any of the following countries/regions?Check each that apply: * Cuba Iran North Korea Syria The disputed Crimea, Donetsk, or Luhansk regions of Ukraine None/Not applicable Please note:
Torc is committed to complying with applicable export control and technology transfer laws in the United States and the other countries where it operates. This question and the two that follow help us comply with these requirements. Any information you provide will be considered and protected in accordance with applicable export control and employments laws. If you checked any of the boxes above other than None / Not applicable, then please provide additional information regarding your immigration and residency status. Check each that apply: * I am a U.S. Citizen or Legal Permanent Resident. I am a Citizen or Legal Permanent Resident of a different country. I reside in a different country and have a valid work visa there. I reside in Cuba, Iran, North Korea, Syria, The disputed Crimea, Donetsk, or Luhansk regions of Ukraine. None/Not applicable Please note:
Citizenship or residency in these countries will not automatically disqualify you from consideration. However, individuals from certain countries or regions may be subject to additional review and authorization requirements in accordance with U.S. and other applicable laws. If you checked either 'I am a Citizen or Legal Permanent Resident of a different country' or 'I reside in a different country and have a valid work visa there' please indicate the applicable country or countries. Type N/A if not applicable. * Do you have an agreement between you and your current or former employer that may restrict your ability to accept this offer of employment with Torc or restrict any work that you may do for Torc? * Select... LinkedIn Profile If there is any additional information you would like us to consider when evaluating your application, please provide it below.
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Meet the Team
At Torc Robotics, we're on a mission to revolutionize freight movement through safe, efficient, and reliable autonomous driving technology. Backed by Daimler Truck, we are industry leaders in Level 4 autonomous vehicle systems, with decades of innovation and a clear path to commercialization. Join our growing Model Development team and directly contribute to our world-class machine learning systems for Road & Lane detection– a critical function in enabling AV perception and path planning. We are seeking a highly motivated Senior Machine Learning Engineer to join our Road & Lane Detection team focused on developing robust models that predict static and semi-static road features (lanes, intersections, boundaries, driveable space, etc). You will be responsible for designing and implementing state-of-the-art deep learning models that enable our autonomous vehicles to understand and anticipate road structures in diverse environments. This is a hands-on applied research and development role, with direct impact on Torc’s core autonomy stack. What You’ll Do Design, train, and deploy deep learning models for road and lane topology prediction, including drivable space, lane boundaries, and intersection structures. Build and optimize neural network architectures that leverage multi-modal sensor data (camera, LiDAR, radar) and SD/HD map context. Collaborate with teams across perception, mapping, planning, and systems integration to ensure seamless performance in real-world autonomous driving. Lead model ablation studies, error analysis, and performance validation using large-scale simulation and real-world datasets. Develop tooling and workflows to automate training, experimentation, and evaluation of ML models. Mentor junior engineers and contribute to technical leadership within the ML modeling group. What You’ll Need to Succeed Bachelor's degree in computer science, data science, artificial intelligence or related field with 6+ years of professional experience or a master's degree with 4+ years of experience Hands on experience with segmentation tasks like lane prediction, free space segmentation, etc. State of the Art AV experience with multi-sensor data, especially in perception systems for autonomous vehicles or robotics. Mastery of Python and PyTorch, with the ability to transition research level code to production and deployment ready standards Proficiency in Python, and familiarity with modern ML Ops tools and GPU-based training. Prior experience in autonomous driving, robotics, or similar safety-critical domains. Experience with LiDAR, radar, or 3D spatial data processing. Knowledge of performance metrics for perception and prediction tasks (IoU, FDE, ADE, mAP). Bonus Points PhD in machine learning or data science Proficient in writing CUDA kernels and developing custom PyTorch operations. Experience with relevant NVIDIA libraries and frameworks, such as CUBLAS, CuDNN, and NPP Proficiency with Ray Publications or contributions to open-source ML projects. C++ skills or experience integrating ML into production autonomy systems. Perks of Being a Full-time Torc’r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: 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) AD+D and Life Insurance Apply for this job
* indicates a required field First Name * Last Name * Preferred First Name Email * Phone Country Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Are you local to Ann Arbor, MI? * Select... How did you first hear about this job? Please list the site, event, or person that referred you. * What is your availability or desired start date? * What are your salary expectations? * Are you legally authorized to work in the United States for TORC Robotics? * Select... Do you require or will you require sponsorship for employment visa status (e.g., H-1B visa status, etc.) to work legally in the United States for TORC Robotics? * Select... U.S. Export Control Requirements - Are you a citizen, national, or resident of any of the following countries/regions?Check each that apply: * Cuba Iran North Korea Syria The disputed Crimea, Donetsk, or Luhansk regions of Ukraine None/Not applicable Please note:
Torc is committed to complying with applicable export control and technology transfer laws in the United States and the other countries where it operates. This question and the two that follow help us comply with these requirements. Any information you provide will be considered and protected in accordance with applicable export control and employments laws. If you checked any of the boxes above other than None / Not applicable, then please provide additional information regarding your immigration and residency status. Check each that apply: * I am a U.S. Citizen or Legal Permanent Resident. I am a Citizen or Legal Permanent Resident of a different country. I reside in a different country and have a valid work visa there. I reside in Cuba, Iran, North Korea, Syria, The disputed Crimea, Donetsk, or Luhansk regions of Ukraine. None/Not applicable Please note:
Citizenship or residency in these countries will not automatically disqualify you from consideration. However, individuals from certain countries or regions may be subject to additional review and authorization requirements in accordance with U.S. and other applicable laws. If you checked either 'I am a Citizen or Legal Permanent Resident of a different country' or 'I reside in a different country and have a valid work visa there' please indicate the applicable country or countries. Type N/A if not applicable. * Do you have an agreement between you and your current or former employer that may restrict your ability to accept this offer of employment with Torc or restrict any work that you may do for Torc? * Select... LinkedIn Profile If there is any additional information you would like us to consider when evaluating your application, please provide it below.
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