Staff Tech Lead, Perception, Pre-training & Distillation
Core
Train multi-billion parameter spatio-temporal foundation models on massive datasets to enable real-time perception for autonomous driving.
Role type
Staff IC machine-learning engineer (perception & pre-training)
Builds
Pre-trained foundation models for production use in real-time autonomous driving systems
Domain
Autonomous driving, Computer Vision, Deep Learning
Deliverable
production ML models
Required skills
Multi-billion parameter model training, Self-supervised learning, Multi-teacher distillation, Latent representation evaluation, Diverse dataset curation, Technical roadmap contribution
Preferred skills
Top-tier conference publications, Real-time system design, C++
Technologies
PyTorch, JAX, Python
Responsibilities
Train spatio-temporal foundation models on multi-billion frame datasets, Develop self-supervised learning methods for encoders and reconstruction, Create multi-teacher distillation recipes, Evaluate quality of latent representations, Curate and use diverse training datasets, Contribute to technical roadmaps
Seniority
Staff, hands-on IC