Research Intern: Real-Time Scene Understanding & Planning

DiDi; San Jose (CA); Sur place; USD 52 000 - 74 000; Plein temps

Résumé du poste

DiDi’s Autonomous Driving unit is seeking a Research Intern to tackle open problems in perception, prediction, and planning for real-world driving. You will work on hard tasks from problem definition to validated solutions, often with publishable results, under the guidance of team leads.

You will design deep learning models for real-time scene understanding, train on driving logs and public benchmarks, and collaborate with cross-functional teams to transition prototypes into production-ready

Qualifications

• Currently enrolled in an MS or PhD program in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related field.
• Available for a full-time onsite internship of 3–6 months; start dates are flexible.
• Strong programming skills in Python, and experience with modern deep learning frameworks such as PyTorch or JAX.
• Hands-on experience designing, training, and debugging deep learning models for computer vision, 3D perception, or sequential decision-making.

Responsabilités

• Survey the latest research in scene understanding, prediction, and planning, and turn it into practical approaches that fit our system and constraints.
• Design and implement deep learning models that build a richer, real-time understanding of the driving environment from onboard sensors and other sources.
• Train and evaluate models on large-scale data from driving logs and public benchmarks, and lead failure analysis to identify where models fall short.
• Define metrics and evaluation methods that connect perception quality to actual vehicle behavior.
• Turn successful prototypes into solutions that work with our planning stack, with help from production engineers.
• Collaborate with Perception, Prediction, Planning, and Mapping teams so results move from experiment to product.

Connaissances

Python

Deep learning

Computer vision

Experiment design

Formation

MS/PhD in CS/Robotics/EE/ML

Outils

PyTorch

JAX

Description du poste

DiDi’s Autonomous Driving unit is seeking a Research Intern to tackle open problems in perception, prediction, and planning for real-world driving. You will work on hard tasks from problem definition to validated solutions, often with publishable results, under the guidance of team leads.

You will design deep learning models for real-time scene understanding, train on driving logs and public benchmarks, and collaborate with cross-functional teams to transition prototypes into production-ready