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Torc Robotics is seeking a Senior Machine Learning Engineer to develop and scale end-to-end learning-based systems for autonomous vehicles. The role involves working with multi-modal sensor inputs to improve model performance, with a strong emphasis on collaboration and mentorship.
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Job Summary
Torc Robotics is a leader in autonomous driving technology focused on developing software for automated trucks as part of the Daimler family.
The role involves owning the development of End-to-End ML models that map multi-modal sensor inputs to driving-relevant outputs for real-world freight operations.
Employees receive a competitive compensation package including stock options, 100% paid medical premiums, and a 401K plan with a 6% employer match.
Matching Summary
Match Score: 75
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Torc Robotics is seeking a Senior Machine Learning Engineer to develop and scale end-to-end learning-based systems for autonomous vehicles. The role involves working with multi-modal sensor inputs to improve model performance, with a strong emphasis on collaboration and mentorship.
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Salary
Base: $226,400 - $271,700 USD; Bonus/Equity: Includes bonus component and stock options; Benefits: 100% paid medical, dental, vision, 401K with 6% match
Skills & Requirements
Must-have
End-to-End ML model development
Multi-modal sensor input processing
Python and PyTorch programming
Large-scale dataset training
Distributed compute environments
Nice-to-have
Vision-language-action models experience
Closed-loop simulation frameworks
Reinforcement or imitation learning
Ray distributed training framework
Vehicle dynamics understanding
Key Requirements
Bachelor's degree with 6+ years experience
Master's degree with 4+ years experience
PhD with 0-2 years experience
Track record of top-tier conference publications
Experience deploying ML models for autonomous systems