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Waymo is looking to improve its autonomous driving technology by developing the Waymo Driver, which requires advanced perception systems to learn the spatial-temporal representation and semantic meanings of the surrounding environment.

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 (preferred).
• Publications in top-tier machine learning or computer vision conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ECCV) (preferred)
• Eligibility to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.