Jobs in Palo Alto, CA

About the role

The Vehicle Perception team at Woven by Toyota tackles the core challenges of machine learning for 3D perception, sensor fusion, and computer vision in autonomous vehicles. Our work involves a variety of challenges, such as analyzing petabytes of multimodal driving data, solving optimization problems in computer vision, minimizing latency on hardware accelerators, deploying scalable and efficient machine learning (ML) training and evaluation pipelines, and designing novel neural network architectures to advance state-of-the-art ML for onboard perception. We are looking for doers and creative problem solvers to join us in improving mobility for everyone with human-centered automated driving solutions for personal and commercial applications. The team is looking for a skilled Machine Learning Engineer to help advance a cutting-edge machine learning system for perception foundation models leveraging large-scale multimodal sensor data. You will have the chance to design and implement innovative machine learning models for our next-generation autonomous vehicle platform, influencing millions of Toyota production vehicles.

What you'll bring

• MS or PhD in Machine Learning, Computer Vision, Robotics or related quantitative fields, or equivalent industry experience.
• 3+ years of experience with Python, any major deep learning framework, and software engineering best practices
• 3+ years of experience with deep learning approaches such as supervised/unsupervised learning, transfer learning, multi-task learning, and/or deep reinforcement learning.
• 3+ years of experience covering machine learning workflows, data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, and inference optimization.
• Experience working with large-scale foundation models, including pretraining, multimodal architectures, self-supervised learning approaches.
• Deep understanding of runtime complexity, distributed/cloud ML infrastructure, data pipeline architecture,resource-aware optimization.
• Comfortable in writing C++ code to help integrate with our autonomous vehicle platform.
• Strong leadership skills to influence others and the team's technical strategy.
• Strong communication skills with the ability to communicate concepts clearly and precisely.
• Proven track record of deploying ML models at scale in self-driving or related fields.
• Hands-on experience with world models, video prediction, or latent dynamics models for autonomous systems or robotics.
• Experience leveraging foundation models across multiple platforms and sensor setups, including distilling larger models into efficient real-time variants.

Benefits