Senior, ML Engineer - ML Ops Framework

Torc Robotics is seeking a Senior ML Engineer to join the ML Ops Framework team, enabling ML developers to build autonomous vehicle solutions at scale. The role involves building and maintaining ML frameworks, designing organization-wide systems for ML Ops, and driving collaboration across the AI division. The position is remote worldwide.

• Build, maintain and improve ML frameworks including cloud tooling (Terraform, AWS Managed Services, EKS), data ops (Parquet processing, vector databases), and ML development pipeline (Python, Ray, PyTorch, Lightning, Gymnasium). Design organization-wide systems and platforms for ML Ops. Be a key driver of technical requirements and adoption of the AV 3.0 Dev Kit. Drive collaboration of the Data Loop & Simulation organization.

• Bachelor's degree in Computer Science, Software Engineering, or related field with 6+ years of professional experience, or Master's with 3+ years. Experience with large-scale distributed training, specifically working with Ray. Well versed in open-source software. Built ML solutions that have reached production. Comfortable with data science and ML iteration/lifecycle. Ability to balance multiple stakeholders.

• Familiarity with model optimizations/compression for edge deployment. Familiarity with compute and data platforms. Experience in autonomous vehicle (L4) or adjacent industry. Reinforcement Learning for physical AI. Publications in relevant conferences (NeurIPS, ICML, CVPR, ICLR). Contributions to open source software.