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Applied Research Scientist, Perception LLM/VLM (PhD, New Grad)

Waymo

$170,000 - $216,000
Dec 22, 2025
Mountain View, CA, US • San Francisco, CA, US
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Waymo is looking to improve its autonomous driving technology by enhancing the Perception team's system, which learns the spatial-temporal representation and semantic meanings of the surrounding environment of the autonomously driving vehicle.

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.
  • Experience in fine-tuning foundation models for autonomous driving or robotics applications
  • Familiarity with large-scale data curation and quality assurance processes for multimodal datasets.
  • Background in autonomous vehicle perception, motion planning, or decision-making systems.

Responsibilities

  • Design, implement, and optimize large-scale continual pre-training pipelines for cutting-edge VLM foundation models.
  • Conduct research and development on novel pre-training techniques, focusing on efficiently integrating new, diverse, and multimodal data streams (e.g., visual data from different sensors) into existing models.
  • Develop and rigorously evaluate metrics and methodologies for measuring the performance, and transferability of continually pre-trained foundation models in the context of autonomous driving.
  • Stay current with the latest advancements in large language models, vision-language models, and continual learning, and translate relevant research into production-ready systems.

Other

  • Master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience.
  • PhD in a relevant field.
  • Publications in top-tier machine learning or computer vision conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ECCV).
  • Travel requirements not specified
  • Clearance requirements not specified