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

Highlights

• Own end-to-end ML projects that improve Perception model quality.
• Analyze large-scale multi-sensor driving data to explain model failures.
• Help land data curation findings in production model training.

What they offer

• Generous benefits programs

Ideal candidate

MS or PhD student passionate about data-centric AI and autonomous driving who loves owning end-to-end ML experiments and turning real-world data insights into better models.

Requirements

• Currently enrolled in MS or PhD program in Computer Science, Machine Learning, Robotics or related field
• Hands-on experience training and evaluating deep learning models
• Hands-on experience with data-centric ML including dataset building, curation or quality analysis
• Strong programming skills in Python
• Ability to design controlled experiments and draw conclusions from quantitative results