2027 Summer Intern, MS/PhD, Perception, Model Lifecycle
Mountain View, CA$70/hrFull-timePosted 1w ago
About the role
Internship focused on end-to-end ML projects within Waymo’s Perception, Model Lifecycle team, with on-site work in Mountain View, CA. Emphasis on data-centric ML, large-scale multi-sensor data, and deploying models for production training.
Responsibilities
- Own an end-to-end ML project: form a hypothesis, build the dataset, train and evaluate models, and analyze the results.
- Design and run experiments that measure how training data choices (curation, mining, balancing, labeling) affect Perception model quality.
- Build and refine datasets from large-scale multi-sensor driving data (camera, lidar, radar).
- Train and evaluate Perception models with Waymo's existing training and evaluation tooling.
- Develop metrics and analyses that explain where models fail and which data would fix those failures.
- Share findings with ML engineers and research scientists, and help land the results in production model training.
Qualifications
- Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Robotics, or a related field.
- Hands-on experience training and evaluating deep learning models in JAX, PyTorch, or TensorFlow.
- Hands-on experience with the data side of ML, such as building datasets, data curation, labeling, or data quality analysis.
- Strong programming skills in Python.
- Ability to design controlled experiments and draw sound conclusions from quantitative results.
Skills
Required:End-to-end ML project ownershipData curation and labelingPython programmingDeep learning frameworks
Benefits
- Interns are eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.
- Hourly Masters Pay: $70—$70 USD
- Hourly PhD Pay: $85—$85 USD
Last updated Oct 22, 2026. Interested? Apply on the company site.
About Waymo
The World’s Most Experienced Driver
Waymo—formerly the Google self-driving car project—makes it safe and easy for people & things to get around with autonomous vehicles.
Autonomous DrivingAutonomous VehiclesMobilityRide-Hailliquid-ai-recruiting-target
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