Senior Machine Learning Engineer, End‑to‑End Autonomous Driving
Core
Designing, implementing, and training large-scale end-to-end driving models using VLM/VLA architectures to build a data flywheel for autonomous vehicles.
Role type
Senior Machine Learning Engineer (End-to-End Autonomous Driving)
Builds
Large-scale E2E driving models, multimodal datasets, and agentic data workflows for self-driving cars.
Domain
Autonomous driving, Computer Vision, Deep Learning
Deliverable
production ML models
Required skills
Deep learning (transformers, VLM/VLA, foundation models), data-centric methods (active learning, curriculum learning, outlier detection), Python, distributed training, software engineering practices
Preferred skills
Data flywheel operations, simulation/synthetic data generation, safety validation for autonomous systems
Technologies
PyTorch, TensorFlow, JAX, video modeling, multimodal datasets
Responsibilities
Designing and training large-scale end-to-end driving models; identifying failure cases and specifying data collection needs; building and curating multimodal datasets; developing data-centric learning algorithms; exploring simulation and synthetic data sources; implementing agentic data workflows for automation.
Seniority
Senior, hands-on IC with technical leadership
