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Senior Machine Learning Engineer, LLM/VLM Continual Pre-training

Waymo

$204,000 - $259,000
Nov 5, 2025
Mountain View, CA, US • San Francisco, CA, US
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Waymo is looking to solve the problem of safely operating autonomous vehicles in dozens of cities and under all driving conditions by developing machine learning solutions addressing open problems in autonomous driving.

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.
  • Troubleshoot and resolve complex performance, scalability, and stability issues within the distributed training infrastructure.
  • 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).
  • Eligibility to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.