# Senior Machine Learning Engineer – Predictive World Model

Hiring organization: [XPeng](https://career.thegoodapps.co/organizations/xpeng)

Canonical page: https://career.thegoodapps.co/jobs/95da2660-e7ad-4c48-a0b1-8fc02144d9c2

Listed on XPeng's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Senior
- Location: Santa Clara, CA
- Salary: 174720 – 295680 USD per year

## Summary

This role involves developing and training predictive world models that simulate how physical environments evolve, using multimodal data from autonomous vehicles and robots to improve driving and robotic policies. It suits machine learning engineers with deep learning expertise who want to work on foundational AI systems for autonomous systems at scale.

_Our summary, not XPeng's wording._

## Skills named

Computer Vision, Deep Learning, Python, PyTorch, Reinforcement Learning

## Required

- MS or PhD in Engineering, Computer Science, Deep Learning, Computer Vision, Generative Models or equivalent experience
- Strong applied deep learning experience including model architecture design and large-scale training
- 1-3+ years hands-on experience with PyTorch and distributed training frameworks
- Strong Python programming with software design skills
- Understanding of data structures, algorithms, code optimization and large-scale data processing
- Excellent problem-solving and experimental design skills

## Nice to have

- Hands-on experience with generative models for video or 3D such as diffusion or flow matching
- Experience with world models or learned simulators for decision making and model-based reinforcement learning
- Experience with multimodal foundation models, video tokenizers or VAEs
- Experience with large-scale training infrastructure and performance optimization techniques

Apply on XPeng's site: https://job-boards.greenhouse.io/xpengmotors/jobs/8702836002