Machine Learning Engineer Perception LLM/VLM (PhD, New Grad)

Highlights

• Build continual pre-training pipelines for cutting-edge VLM foundation models.
• Develop perception systems that learn spatial-temporal world representation.
• Improve autonomous driving with 100M+ miles of real-world driving data.

What they offer

• Discretionary annual bonus program
• Equity incentive plan
• Generous Company benefits program

Ideal candidate

A PhD new graduate passionate about foundation models and autonomous driving who thrives on translating cutting-edge multimodal research into real-world driving systems.

Requirements

• 5+ years of experience in Machine Learning, with a focus on large-scale model development (LLM, VLM, or similar foundation models)
• Proven expertise in LLM/VLM pre-training, continual learning with large scale datasets
• Strong coding proficiency in Python and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch)
• Hands-on experience with model training, evaluation, and deployment in a production environment
• Master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience