Senior ML Engineer – Road & Lane Detection
Torc Robotics
full-time
Posted on:
Location Type: Hybrid
Location: Ann Arbor • Missouri • 🇺🇸 United States
Visit company websiteSalary
💰 $199,200 - $298,800 per year
Job Level
Senior
Tech Stack
PythonPyTorch
About the role
- Develop efficient pipelines for large-scale data processing and annotation(pseudo-labeling) of sensor data (e.g., LiDAR point clouds, image frames).
- Implement data augmentation, synthetic data generation, and domain adaptation strategies to improve model robustness.
- Deploy machine learning models on edge devices, ensuring real-time performance and resource efficiency.
- Optimize inference pipelines for embedded and automotive-grade hardware platforms.
- Collaborate with robotics, software, and hardware engineering teams to ensure seamless integration of perception systems.
- Work with product and operations teams to define performance metrics and improve system reliability.
- Stay updated with the latest advancements in computer vision, Road Lane monocular and BEV models, and autonomous driving technologies.
- Contributing to the model development roadmap and providing strategic advice to technical leadership.
- Mentoring and guiding junior team members to enhance their technical skills and career growth.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or related field with 6+ years of professional applied MLE engineering experience in Autonomous Vehicle, Robotics or related industry.
- Master’s degree in Computer Science, Software Engineering, or related field with 3+ years of professional applied MLE engineering experience in Autonomous Vehicle, Robotics or related industry.
- Scientific understanding of machine learning for 3D BEV space modeling, including the ability to apply state-of-the-art ML research and methods in production.
- Applied understanding and hands-on expertise in lane and road geometry concepts, multi-camera calibration, and sensor projection.
- Experience with understanding data distributions and analyzing long tail distributions
- Mastery of Python and PyTorch, with the ability to transition research level code to production and deployment ready standards.
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 and generous paid vacation (available immediately after start date)
- Company-wide holiday office closures
- AD+D and Life Insurance
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data processingdata annotationdata augmentationsynthetic data generationdomain adaptationmachine learninginference optimizationPythonPyTorch3D BEV space modeling
Soft skills
collaborationmentoringstrategic advicecommunication
Certifications
Bachelor's degreeMaster's degree