Torc Robotics · 12 hours ago
Senior, ML Engineer - Unstructured Environments
United States
Full-time
Remote
Senior Level
$199K/yr - $299K/yr
6+ years expTorc Robotics is a leader in autonomous driving technology, now focused on developing software for automated trucks. They are seeking a Senior ML Engineer to develop next-generation perception models for complex environments, utilizing advanced AI techniques to enhance autonomous navigation capabilities.
TransportationSoftwareRoboticsAutonomous Vehicles
No H1B
U.S. Citizen Only
Responsibilities
Develop and Optimize Computer Vision Algorithms
Train monocular and multimodal terrain and road surface detection models
Detect and classify objects, obstacles, traversable surfaces and environmental conditions
Enhance perception systems to process multi-modal sensor data (camera, LiDAR, etc.) effectively
Utilize data science techniques to analyze model performance, data distributions, and identify corner cases
Contribute to BEV and 3D Perception Architectures
Design and implement deep learning models for terrain and surface inference in BEV frameworks
Integrate BEV representations into navigation and motion planning pipelines
Data Management and Processing
Develop efficient pipelines for large-scale data processing and annotation (pseudo-labeling) of sensor data (LiDAR point clouds, image frames)
Implement data augmentation, synthetic data generation, and domain adaptation strategies to improve model robustness across diverse terrain types and environmental conditions
Model Deployment and Optimization
Deploy machine learning models on edge compute platforms, ensuring real-time performance and resource efficiency
Optimize inference pipelines for embedded and ruggedized hardware platforms
Cross-functional Collaboration
Collaborate with robotics, software, and hardware engineers to ensure seamless integration of perception systems
Work with technical leadership to define performance metrics and improve system reliability
Research and Innovation
Stay current with the latest advancements in computer vision, terrain modeling, BEV models, and autonomous navigation
Translate scientific research into production-grade machine learning solutions for real
Publish findings in top-tier conferences and journals (optional but encouraged)
Leadership
Contribute to the model development roadmap and provide strategic advice to technical leadership
Mentor and guide 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 ML engineering experience in autonomous systems, robotics, or a 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 environments
Applied expertise in terrain and surface geometry modeling, multi-camera camera calibration, and sensor projection
Experience analyzing data distributions and addressing long-tail edge cases
Mastery of Python and PyTorch, with the ability to transition research-level code to production and deployment-ready standards
U.S. Citizenship Requirement: This position requires access to information and systems that are restricted under U.S. law. Accordingly, only U.S. citizens are eligible for this role
Preferred
PhD in machine learning, computer vision, 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, NeurIPS, IROS)
Applied experience using Ray or similar frameworks to scale ML workloads across multi-node and systems for distributed training and experimentation
Experience with perception systems operating in GPS-denied, GPS-challenged, or visually degraded environments
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
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
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