Senior SWE, Perception ML/VLM

Within Perception, the Sensor Health team's job is to make sure that sensors "just work" for the entire self-driving car software stack. We make sure that all sensors are properly calibrated and consistently monitored at all times. We process data from next-generation sensors on next-generation vehicle platforms and work closely with both hardware and software teams to provide the best possible sensor data from our sensors to our upstream customers. To this end, we develop sensor data alignment and calibration algorithms, a growing sensor health backend, and deploy our systems both into the Waymo Driver and our log processing backend.

In this hybrid remote/in-office role, you will report to a Senior Staff TLM.

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 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