Sr. Machine Learning Engineer, AI Infrastructure, Autonomy

About the position

Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. We are looking for a full-time Machine Learning Engineer, with deep knowledge and strong enthusiasm towards establishing a state-of-art AI infrastructure for training very large foundation models and accelerating model training/inference. Our mission is to solve the autonomous driving problem. You will work with a team of talented software engineers, machine learning engineers and research scientists to push the boundary of state-of-art machine learning models which will enable the next-generation E2E solution of autonomous driving.

Responsibilities

• Design, train, and deploy large deep learning models that can leverage the vast amount of labeled and unlabeled data from a fleet of million vehicles.
• Improve ecosystem for training infrastructure and deployment pipeline to accelerate model iteration and improve performance.

Requirements

• PhD in CS/CE/EE, or equivalent, in industry experience.
• Deep knowledge of PyTorch.
• Experience with Cuda or Triton language for writing custom ops.
• Knowledge of model training framework (e.g. PyTorch Lightning).
• In-depth knowledge of transformer architecture and ways to accelerate the training and inference of transformer models.
• Experience of performing large scale distributed training of models.
• A track record of profiling model and doing detective work to improve model training and inference speed.

Nice-to-haves

• Previous experience in the autonomous driving industry.
• Knowledge of Nvidia TensorRT.
• Experience with edge computing systems.
• Knowledge of model optimization including quantization, pruning, etc.

Benefits

• Robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26.
• Coverage is effective on the first day of employment, and Rivian covers most of the premiums.