Staff, ML Engineer - Road & Lane Detection

Torc is seeking a Staff Machine Learning Engineer to lead the model development efforts for Road & Lane Detection in autonomous vehicles. The successful candidate will have expertise in deep learning, computer vision, and semantic segmentation, and will be responsible for defining the next generation of deep learning architectures and data-driven approaches to extract high-fidelity road and lane semantics from multi-modal sensor data.

Requirements

• 10+ years of experience developing deep learning models for perception or computer vision at scale
• M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field (or equivalent experience)
• Deep expertise in semantic and instance segmentation, BEV modeling, or scene topology estimation
• Strong understanding of lane and road geometry modeling, camera calibration, and sensor projection
• Proficiency with Python and modern ML frameworks (e.g., PyTorch, Lightning)
• Experience with distributed training pipelines, experiment management, and large-scale dataset handling
• Proven leadership in guiding technical roadmaps, mentoring engineers, and driving measurable model improvements

Benefits

• Competitive compensation package
• 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
• AD+D and Life Insurance