Waymo

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

Waymo

Mountain View•Remote•5-8 Yrs•1 hour ago

Remote

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver.

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.
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.

Familiarity with large-scale data curation and quality assurance processes for multimodal datasets.
Background in autonomous vehicle perception, motion planning, or decision-making systems.
Publications in top-tier machine learning or computer vision conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ECCV).
PhD in a relevant field.

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