Torc Robotics · 5 days ago
Senior, ML Engineer - Road & Lane Detection
Ann Arbor, MI
Full-time
Hybrid
Senior Level
$199K/yr - $299K/yr
6+ years expTorc Robotics is a leader in autonomous driving technology, focused on developing software for automated trucks. They are seeking a Senior ML Engineer to join their Road Lane perception team, where the main responsibilities include developing computer vision algorithms, optimizing machine learning models, and collaborating with cross-functional teams to enhance autonomous vehicle systems.
Autonomous VehiclesRoboticsSoftware
Responsibilities
Develop and Optimize Computer Vision Algorithms
Training monocular and multimodal Road Model Detection models
Comprehending objects, lanes, obstacles, and weather conditions within the driving environment
Enhance perception systems to process multi-modal sensor data (camera, LiDAR, radar) effectively
Utilizing data science techniques to analyze model performance, data distributions, and identify corner cases
Contribute to BEV Self-Driving Architectures
Design and implement deep learning models for Road Model inference in BEV frameworks
Integrate BEV representations into end-to-end planning and control pipelines
Use SD maps as priors for enhanced performance
Data Management and Processing
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
Model Deployment and Optimization
Deploy machine learning models on edge devices, ensuring real-time performance and resource efficiency
Optimize inference pipelines for embedded and automotive-grade hardware platforms
Cross-functional Collaboration
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
Research and Innovation
Stay updated with the latest advancements in computer vision, Road Lane monocular and BEV models, and autonomous driving technologies
Translating scientific research into production-grade machine learning pipelines
Publish findings in top-tier conferences and journals (optional but encouraged)
Leadership
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
Qualification
Required
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
Preferred
PhD in machine learning or data science
Proficient in writing CUDA kernels and developing custom PyTorch operations
Publications at top tier computer vision / machine learning conferences or journals (CVPR, ICCV, JMLR, IJCV)
Applied experience using Ray in an autonomous vehicle (AV) or related environment to scale machine learning workloads, including distributed training, large-scale experimentation, and hyperparameter tuning across multi-node and multi-GPU systems
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
Company
Torc Robotics
Torc provides L4 end-to-end self-driving software for mobility, trucking, mining, and defense markets through strategic partnerships
501-1000 employees
H1B Sponsorship
Torc Robotics has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (100)
2024 (41)
2023 (33)
2022 (40)
2021 (14)
2020 (7)
Funding
Current Stage
Late StageTotal Funding
unknown2019-03-29Acquired
Leadership Team
Peter Vaughan Schmidt
CEO
April Alexander
Human Resources Business Partner
Recent News
2025-12-02
2025-09-12
2025-09-09
Company data provided by crunchbase