Senior SWE, Perception ML/VLM

The Sensor Pipelines team applies sensor fusion and ML approaches to address critical challenges in Perception; like detections of Collisions, Antagonistic Behaviors, Sensing Occlusions, etc. We conduct research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling researchers like you to develop complex models and techniques at scale.

In this hybrid role, you will report to a Technical Lead Manager.

You will:

• Apply sensor fusion, machine learning techniques to solve real-world challenges.
• Develop and deploy machine learning models, including vision language models (VLMs).
• Develop data mining, labeling, training and eval pipelines to support the onboard development.
• Collaborate and work in partnership with product, infra and research teams across Waymo.

You have:

• Bachelors in Computer Science or a similar discipline, or an equivalent amount of experience
• 5+ years experience in Machine Learning and/or Autonomous Vehicles
• Experience with Python
• Hands-on experience with deep learning frameworks (ie: PyTorch, Tensorflow, etc)

We prefer:

• MS or PhD degree in Computer Science, Robotics or a similar discipline
• Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, RSS, NeurIPS, AAAI, IJCV, or PAMI
• Github repositories or Tech Blogs of LLMs/ VLMs
• Experience with C++

#LI-Hybrid