Senior, ML Engineer - ML Ops Framework

About the Company

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. As a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.

Meet The Team

Our team is tasked with enabling ML developers across Torc to build the most advanced autonomous vehicle solutions at scale. We are the team responsible for enabling the full ML experimentation process, from ideation to training and validation, to comparison between models on the same lineage to conversion of an optimal model to a viable truck format. We are an AWS shop, using Lightning & Ray for our distributed ML work, and we hope you are a Senior ML Engineer who can help us drive the future of autonomous freight.

What You'll Do

• Build, maintain and improve our Torc ML frameworks including: Cloud tooling (Terraform, AWS Managed Services, EKS, Ray); Data ops (Parquet processing with PyArrow, Daft, Pandas, vector databases / LanceDB, MCAP/ROS); ML Development pipeline (Python, Ray, PyTorch, Lightning, Gymnasium); Logging & aggregation, Experiment tracking, Model registry & lineage (Visualization & dashboarding e.g., tableau, voxel51, rerun)
• Design organization wide systems and platforms for ML Ops
• Be a key driver of the technical requirements and the adoption of the AV 3.0 Dev Kit with internal stakeholders
• Drive velocity in development, review, iteration, and be one of the key contributors to help drive the team forward
• You will be a trusted technical voice to drive collaboration of the Data Loop & Simulation organization within the AI Division at Torc

What You'll Need to Succeed

• Bachelor’s degree in Computer Science, Software Engineering, or related field with 6+ years of professional experience OR Master’s degree in Computer Science, Software Engineering, or related field with 3+ years of professional experience
• Experience with large scale distributed training, specifically working with Ray
• You are well versed in open-source software and make contributions
• You have built ML solutions that have reached production
• You feel comfortable with the data science and ML iteration/lifecycle
• You can balance multiple stakeholders when designing components of the ML development lifecycle
• Ideal: You are familiar with model optimizations/compression for edge deployment
• You have familiarity with compute and data platforms
• You understand how to build ML systems that scale
• You have experience making tradeoffs for speed of development
• You want to build, maintain, grow, and improve our ML platform
• You know that a healthy software deployment requires mature software practices
• Ideal: You love to speak with users and help them reach their goals
• Experience in the autonomous vehicle (L4) or adjacent industry

Bonus Points

• Reinforcement Learning for physical AI
• Publications in relevant conferences (NeurIPS, ICML, CVPR, ICLR, etc.)