Senior ML Engineer (AI)

TL;DR

Senior ML Engineer (AI): Develops next-generation perception models for autonomous vehicles in unstructured environments with an accent on cutting-edge deep learning techniques, 3D representations of terrain, and multimodal sensor data processing. Focus on designing and implementing BEV and 3D perception architectures, optimizing models for edge compute platforms, and addressing long-tail edge cases in real-world demanding conditions.

Location: Remote - US. 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.

Salary: $199,200 - $298,800

Company

Torc, now a part of the Daimler family, is a leader in autonomous driving since 2007, focused solely on developing software for automated trucks.

What you will do

• Develop and optimize computer vision algorithms, including training monocular and multimodal terrain/road surface detection models.
• Contribute to BEV and 3D perception architectures for terrain and surface inference, integrating representations into navigation pipelines.
• Develop efficient data pipelines for large-scale processing, annotation, augmentation, and synthetic data generation.
• Deploy and optimize machine learning models on edge compute platforms for real-time performance.
• Collaborate cross-functionally with robotics, software, and hardware engineers.
• Research and innovate by staying current with advancements and translating scientific research into production solutions.
• Mentor junior team members and contribute to the model development roadmap.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or related field with 6+ years, or Master’s 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 and ability to apply state-of-the-art ML research.
• Applied expertise in terrain and surface geometry modeling, multi-camera calibration, and sensor projection.
• Experience analyzing data distributions and addressing long-tail edge cases.
• Mastery of Python and PyTorch with ability to transition research-level code to production.
• U.S. Citizenship required.

Nice to have

• 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.
• Applied experience using Ray or similar frameworks for distributed training.
• Experience with perception systems operating in GPS-denied or visually degraded environments.

Culture & Benefits

• Competitive compensation package including bonus 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.
• Company-wide holiday office closures.
• AD+D and Life Insurance.