Research Engineer, Foundation Models, Self-Driving – Palo Alto, California

Tesla

What to Expect

Tesla is seeking exceptional software engineers to build Tesla AI’s foundation models. You will join a small group of world-class deep learning experts to develop state-of-the-art neural networks and push the boundaries of AI research and development. Your work will enable real-world intelligent systems for both Self-Driving and Tesla Bot.

What You’ll Do
Lead applied research to advance foundation models for both autonomous driving and humanoid robots
Work across the machine learning stack – curating a massive stream of data, designing and implementing new neural network architectures, training models, evaluating model performance.
Work with a talented team on cutting-edge techniques in large multimodal models, multi-task learning, video networks, generative models, imitation learning, semi-supervised learning, and self-supervised learning.
Have an outsized impact deploying foundation models to millions of Tesla’s robotic platforms across the world.
What You’ll Bring
Proven track record of innovations and executions in deep learning, demonstrated with shipping products or first-author publications at leading AI conferences
Strong software engineering skills: much of modern deep learning success comes down to the quality of the implementation and strong engineering ability is non-negotiable.
Demonstrated excellence and a proven track record of solving difficult software engineering problems
An “under the hood” knowledge of deep learning: layer details, loss functions, optimization, etc.
Experience with PyTorch, or another major deep learning framework
Experience working with large datasets

Palo Alto, California

Full time

Job Overview