ML Research Intern - Perception & Data-Centric AI

Waymo LLC; Mountain View (CA); Híbrido; USD 96.000 - 117.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Benefits eligibility

Descripción de la vacante

Waymo LLC in Mountain View, CA is seeking a graduate ML intern for an on-site/hybrid role. You will own end-to-end ML projects, build datasets, train and evaluate models, and analyze results with a data-centric focus.

The role emphasizes collaboration with engineers and researchers on perception tasks and model improvements. Applicants must be enrolled in an MS or PhD program and have hands-on experience with JAX, PyTorch, or TensorFlow, plus strong Python skills.

Formación

• Currently enrolled in 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.

Responsabilidades

• 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 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.

Conocimientos

Python programming

Experiment design

Data curation

Educación

MS or PhD student in CS/ML/Robotics

Herramientas

JAX

PyTorch

TensorFlow

Descripción del empleo

Waymo LLC in Mountain View, CA is seeking a graduate ML intern for an on-site/hybrid role. You will own end-to-end ML projects, build datasets, train and evaluate models, and analyze results with a data-centric focus.

The role emphasizes collaboration with engineers and researchers on perception tasks and model improvements. Applicants must be enrolled in an MS or PhD program and have hands-on experience with JAX, PyTorch, or TensorFlow, plus strong Python skills.