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.