Machine Learning Engineer - LLM, AI & Robotics

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

Benefits offered by this job

Competitive compensation package

Snacks, lunches, and fun activities

Job summary

Xpengmotors is seeking a talented professional to develop and fine-tune large language models (LLMs) for Humanoid Robots and Autonomous Driving Cars. You will work on innovative projects that leverage advanced AI and machine learning techniques to shape the future of intelligent mobility.

The ideal candidate holds a Ph.D. in Computer Science or related fields, has strong Python programming skills, and experience in deep learning frameworks. Join us to impact transportation revolution while enjoying a supportive environment with competitive compensation and benefits.

Qualifications

• Solid background in machine learning, natural language processing, computer vision, or speech.
• Experience in working with LLMs.
• Strong experience with any major deep learning framework.

Responsibilities

• Fine-tune the pre-trained LLM on use cases in Humanoid Robots and Autonomous Driving Cars.
• Work on efficient LLMs that can be deployed locally in Robots and Cars.
• Develop and maintain LLM training and deployment pipelines.

Skills

Machine learning

Natural language processing (NLP)

Python programming

Deep learning frameworks

Education

Ph.D in Computer Science or related fields

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.

Job Responsibilities

• Fine-tune the pre-trained LLM on particular use cases in Humanoid Robots and Autonomous Driving Cars, e.g. chat, API calling, etc.
• Work on efficient LLMs (e.g. small LLMs, weight sharing, model quantization, etc.) that can be deployed locally in Robots and Cars.
• Develop and maintain the LLM (including multi‑modal LLM) training and deployment pipelines that could scale to massive production.
• Work on efficient and effective ways to 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 Skill Requirements

• Ph.D in Computer Science or related fields.
• Solid background in machine learning, natural language processing (NLP), computer vision, speech or data.
• Experience in working with LLMs.
• Strong python programming skills & software development, and strong experience with any major deep learning framework.
• Open‑minded, collaborative and excellent communication skills.

Preferred Skill Requirements

• Deep understanding of language model modern architectures, ‘under the hood’ LLM training knowledge, quantization techniques, etc.
• Familiarity of large language models (LLMs) relevant technologies, such as SFT, RLHF, prompt engineering, RAG, etc.
• Record of publications, innovations or leadership.

What do we provide

• A fun, supportive and engaging environment.
• Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving.
• Opportunity to work on cutting‑edge technologies with the top talent in the field.
• Competitive compensation package.
• 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.