2027 Summer Intern, MS/PhD, Perception, Model Lifecycle

📋 Description

• Own an end-to-end ML project: form a hypothesis, build the dataset, train and evaluate models, and
• Design and run experiments that measure how training data choices (curation, mining, balancing
• 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

🎯 Requirements

• Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Robotics, or a
• 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
• Strong programming skills in Python.
• Ability to design controlled experiments and draw sound conclusions from quantitative results.

🎁 Benefits

• Eligible to participate in the Company's generous benefits programs, subject to eligibility
• Hourly pay: Masters: $70 USD per hour; PhD: $85 USD per hour.