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Machine Learning Engineer, Robotics

XPENG & Volkswagen Group

Santa Clara (CA)

On-site

USD 148,000 - 252,000

Full time

5 days ago
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Job summary

A leading smart technology company seeks a Machine Learning Engineer for robotics development. Join a boundaryless team to influence innovative products in AI and autonomous driving, working on cutting-edge technologies in a supportive environment. Opportunities abound to impact the future of transportation and robotics.

Benefits

Snacks
Lunches
Team Activities

Qualifications

  • Experience in deep learning frameworks.
  • Strong background in machine learning, NLP, computer vision, speech, or data science.

Responsibilities

  • Develop scalable machine learning models and deployment pipelines.
  • Work on efficient foundation models for humanoid robots.
  • Coordinate with teams to align on product needs.

Skills

Python
Machine Learning
NLP
Computer Vision
Data Science

Job description

Join to apply for the Machine Learning Engineer, Robotics role at XPENG.

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.

We are looking for passionate machine learning engineers of all levels to develop robotics technology and help shape the future of humanoid robots. You will work in a lean, boundaryless team, influencing every product we ship.

Job Responsibilities:

  1. Develop and maintain scalable machine learning models (e.g., VLM, VLA, RL) training and deployment pipelines.
  2. Work on efficient foundation models (e.g., small LLMs, weight sharing, model quantization) deployable in humanoid robots.
  3. Generate and leverage large-scale datasets and computational resources effectively.
  4. Explore synthetic data generation to enhance data diversity and quality.
  5. Coordinate with different teams to align on product needs.
  6. Demonstrate strong Python programming and software development skills, with experience in deep learning frameworks.
  7. Possess a solid background in machine learning, NLP, computer vision, speech, or data science.
  8. Maintain an open-minded, collaborative, and humble personality.

Preferred Qualifications:

  1. Deep understanding of multimodal LLM architectures, LLM training, and quantization techniques.
  2. Record of publications, innovations, or leadership in the field.

What We Offer:

  1. A fun, supportive, and engaging environment.
  2. Opportunities to impact the future of transportation and robotics.
  3. Work on cutting-edge technologies with top talent.
  4. Snacks, lunches, and team activities.

The salary range for this full-time role is $148,909 - $252,000, plus bonus, equity, and benefits. Salaries are determined by role, level, location, skills, experience, and education.

We are an Equal Opportunity Employer, committed to providing equal employment opportunities regardless of race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status, marital status, or other protected categories.

Seniority level
  • Entry level
Employment type
  • Full-time
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