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Join Waymo as a Summer Intern in Perception - Evaluation, where you'll enhance perception evaluation workflows using generative AI and collaborate with industry leaders on impactful projects.
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 mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
- Improve signal quality in large scale perception evaluation workflows using generative AI (LLM/VLM)
- Expand the capabilities of discovery evaluation system to cover a broader range of perception signals
- Contribute to design and development of frameworks and methods for evaluating multi-task perception models
- Collaborate with ML and infra engineers to integrate new signals to end-to-end model launch evaluation
- Evaluate the impact of improvements on evaluation quality, focusing on precision, recall, and reliability
- Proficiency with coding in Python or C++ and navigating large codebases
- Experience with building and/or evaluating machine learning models
- Experience with data analysis and statistical evaluation
- Enrolled in a Masters or PhD program in Computer Science, Robotics, or a similar technical field of study
Preferred:
- Multi-year C++ experience with contributions to large code bases or open source projects
- Familiarity with perception models, in particular with object generation and semantics tasks
- Experience in utilizing AI-powered workflows for data analysis or model evaluation
- Experience in applying machine learning concepts and evaluation methodologies
- Proven experience in building data and evaluation pipelines and processing large-scale datasets
- This will be a hybrid onsite internship position.
- Expected hourly rate for Masters: $70 USD
- Expected hourly rate for PhD: $85 USD
- Interns are eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.