2027 Summer Intern, Data Scaling, Embodied AI

What you'll do

• Develop pipelines and tools for large-scale multimodal driving datasets; analyze data quality, coverage, and impact.
• Prototype data curation, mining, labeling, and scenario-discovery methods, and improve distributed training workflows.
• Collaborate across research and engineering teams; build evaluation visualizations and communicate findings.

What they ask for

• Currently pursuing a Master’s or Ph.D. 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.
• Strong Python programming skills and experience with data processing, databases, ML pipelines, or large-scale datasets.
• 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 ML framework; distributed training, parallel computing, HPC, cloud, or GPU workflows.
• Familiarity with multimodal sensor data, autonomous vehicles, robotics, computer vision, SQL, data warehouses, or systems programming.

Pay

$11,800 – $14,600 per month (salary; currency not stated)

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 model experimentation.