Principal ML Engineer - Embodied AI Scaling Foundations
Core
Design, architect, and deploy data curation and training pipelines for autonomous vehicle foundation models using real and synthetic datasets to scale model performance.
Role type
Principal ML Engineer (Embodied AI / Autonomous Driving)
Builds
Scalable data pipelines and foundation models for L2-L4 autonomous driving applications
Domain
Autonomous Vehicles / Robotics / Machine Learning
Deliverable
production ML models
Required skills
Foundation model pre-training and fine-tuning, unsupervised pre-training, imitation learning, reinforcement learning, robotics, autonomous driving, distributed training pipelines, data curation algorithms
Preferred skills
Large-scale data processing, model alignment techniques, production deployment of foundation models
Technologies
PyTorch, Python, Numpy, Pandas, Apache Spark
Responsibilities
Design and implement technologies aligning models to mission, apply advanced learning techniques to raise model performance, collaborate on distillation recipes for onboard models, lead projects from ideation to deployment, mentor junior team members
Seniority
Principal, hands-on IC with mentorship
