Machine Learning Engineer, Robotics

Xpengmotors; Santa Clara (CA); On-site; USD 148,909 - 252,000; Full time

Benefits offered by this job

Competitive compensation package

Opportunities for impact

Snacks and lunches

Job summary

Xpengmotors is seeking passionate machine learning engineers at all levels to develop robotics technology for humanoid robots. You will play a crucial role in shaping the future of transportation through cutting-edge R&D and machine learning models.

The ideal candidate has strong Python skills, experience with deep learning frameworks, and a background in machine learning or data science. This full-time position is based in Santa Clara, California, offering competitive compensation and opportunities to work with top talent.

Qualifications

• Strong python programming skills & software development experience.
• Solid background in machine learning, NLP, and data science.
• Collaborative and humble personality.

Responsibilities

• Develop and maintain machine learning models and deployment pipelines.
• Work on efficient foundation models for humanoid robots.
• Generate synthetic data to improve dataset diversity and quality.

Skills

Python programming skills

Software development

Machine learning

Natural language processing

Computer vision

Job description

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting‑edge R&D in AI, machine learning, and smart connectivity.

With this mission, we are looking for passionated machine learning engineers of all levels who will develop robotics technology together with us to shape the new future of humanoid robots. You will work on a lean team without boundaries. Your influence will be on every single product that is shipped, without boundaries as well.

Job Responsibilities

• Develop and maintain machine learning models (e.g., VLM, VLA, RL, etc.) training and deployment pipelines that could scale to massive production.
• Work on efficient foundation models (e.g., small LLMs, weight sharing, model quantization, etc.) that can be deployed locally in humanoid robots.
• Work on efficient and effective ways to generate/leverage large scale dataset and computational resource.
• Explore novel ways to generate synthetic data to improve the data diversity & quality.
• Communicate and align with different teams on product needs across the company.

Minimum Qualification

• Strong python programming skills & software development, and strong experience with any major deep learning framework.
• Solid background in machine learning, natural language processing, computer vision, speech or data science.
• Open‑minded, collaborative & humble personality.

Preferred Qualification

• Deep understanding of multimodal LLM modern architectures, "under the hood" LLM training knowledge, quantization techniques, etc.
• Record of publications, innovations or leadership.

What do we provide

• A fun, supportive and engaging environment
• Opportunities to make a significant impact on the future of transportation and robotics
• Opportunity to work on cutting edge technologies with the top talent in the field
• Competitive compensation package & benefits
• Snacks, lunches, and fun activities

The base salary range for this full-time position is $148,909 - $252,000, 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.