# ML Engineer, Motion Planning at DiDi

- Company: DiDi
- What the company does: DiDi Global is the world's leading mobile transportation platform offering a full range of app-based services to users around the world. Backed by Techstars.
- Company website: https://web.didiglobal.com
- Type: Startups (AI role)
- Level: Mid level
- Location: San Jose, CA
- Work setup: On-site
- Pay: $170K to $282K base salary per year (USD)
- Posted: 2026-10-18
- Apply by: 2026-12-02
- Apply: https://job-boards.greenhouse.io/didi/jobs/8299718?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/didi-ml-engineer-motion-planning/

## About the role

We are looking for an experienced and driven Machine Learning Engineer to join our autonomous vehicle team and develop the next-generation ML-powered planning system for Voyager's autonomous driving platform. You will leverage frontier ML techniques, including learned planners and end-to-end models, to build intelligent systems that understand complex driving environments, make data-driven decisions, and navigate safely and efficiently. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- B.S., M.S., or Ph.D. in Computer Science, Machine Learning, Robotics, Electrical Engineering, Mechanical Engineering, or a related technical field, or equivalent practical experience
- 3+ years of industry experience for Senior, or 5+ years for Staff, in machine learning, autonomous driving, robotics, or related fields
- Proven track record of developing and deploying ML models in production, ideally for real-time, embedded, or autonomous driving systems
- Strong proficiency in Python and C++, with experience developing robust, efficient production software and hands-on experience with modern deep learning frameworks (e.g., PyTorch, JAX, TensorFlow)
- Deep understanding of modern deep learning techniques, including transformers, BEV and 3D representations, and trajectory prediction or generation models, with hands-on experience in model training, evaluation, and debugging
- Foundations in linear algebra, control theory, or motion planning, including path and trajectory generation, trajectory evaluation, cost function design, and lane and road geometry

Tags: Planning US

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/didi-ml-engineer-motion-planning/