2027 Summer Intern, Data Scaling, Embodied AI (Masters)

What you'll do

• Develop pipelines and tools for large-scale, multimodal driving datasets; analyze data quality, coverage, and model impact.
• Prototype data mining, curation, labeling, sampling, or scenario-discovery methods and improve distributed training workflows.
• Collaborate across teams, deliver production-quality software and evaluation tools, and document and present findings.

What they ask for

• Currently pursuing a Master’s degree in Computer Science, Machine Learning, Data Science, Electrical Engineering, or a related technical field.
• Demonstrated experience in machine learning, data engineering, distributed systems, or a related area; experience with data processing, databases, ML pipelines, or large-scale datasets.
• Strong programming skills in Python and strong analytical and problem-solving skills.
• Available to work full-time, 40 hours per week; must graduate between December 2027 and June 2028 and intend to return to a degree program after the internship.

Nice to have

• Experience with PyTorch, TensorFlow, JAX, or another machine learning framework; distributed training, parallel computing, HPC, cloud, or GPU workflows.
• Familiarity with multimodal sensor data, autonomy, robotics, computer vision, SQL, data systems, foundation models, or C++.

Pay

$11,800 per month (base salary)

Tools

Python, PyTorch, TensorFlow, JAX, SQL, C++

AI focus

Develop data and infrastructure foundations for autonomous-driving and Embodied AI models, including data curation, scenario discovery, labeling, distributed training, and ML experimentation workflows.