The opportunity
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to…
What you'll do
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.
+ 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.
What they're looking for
- 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.
- Experience in fine-tuning foundation models for autonomous driving or robotics applications
