xpengmotors
Senior Machine Learning Engineer - Foundation Model
At a Glance
- Location
- Santa Clara, California, United States
- Experience
- 3+ years
- Compensation
- or this full-time position is $174,720 - $295,680, in addition to bonus, equity
- Posted
- 2026-03-18T14:11:29-04:00
Key Requirements
Required Skills
Domain Knowledge
- Engineering
Requirements
in deep learning research or productization.
and modern transformer-based model design.
(DDP, FSDP) and large-batch optimization.
Publication record in top-tier AI conferences (CVPR, ICCV, NeurIPS, ICLR, ICML, ECCV).
foundation or end-to-end driving models
(e.g., ViT, Flamingo, BEVFormer, RT-2, or GRPO-style policies).
Compensation & Benefits
Snacks, lunches, dinners, and fun activities.
The base salary range for this full-time position is $174,720 - $295,680, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.
Responsibilities
Design and implement
(e.g., vision–language–action transformers) for end-to-end autonomous driving.
leveraging massive labeled and unlabeled fleet data (images, video, LiDAR, CAN bus, maps, human driving behaviors, etc.).
Research and integrate
(e.g., visual grounding, temporal reasoning, policy distillation, imitation and reinforcement learning) to improve model interpretability and action quality.
Collaborate with infrastructure engineers to