Machine Learning Engineer, Robotics

Up Closets of North Cincinnati; Santa Clara (CA); On-site; USD 148,000 - 252,000; Full time

Job summary

An innovative technology-driven company is seeking passionate machine learning engineers to develop cutting-edge robotics technology. You'll join a dynamic team focused on shaping the future of humanoid robots, working on machine learning models and deployment pipelines. This role offers the chance to make a significant impact in a supportive environment, collaborating with top talent in the field. If you're excited about advancing robotics and AI technologies, this opportunity is perfect for you.

Benefits

Fun and supportive environment

Opportunities for significant impact

Cutting-edge technologies

Snacks and lunches

Fun activities

Qualifications

• Strong background in machine learning and experience with deep learning frameworks.
• Open-minded, collaborative, and humble personality is essential.

Responsibilities

• Develop and maintain scalable machine learning models and pipelines.
• Collaborate across teams to align product needs and improve data quality.

Skills

Python Programming

Machine Learning

Natural Language Processing

Computer Vision

Data Science

Collaboration

Tools

Deep Learning Frameworks

Job description

Xpeng is known for its electric cars and the leading autonomous driving technology. As a technology-driven company, we are also dedicated to the development of state-of-the-art humanoid robot AI technology, including robot locomotion, manipulation, navigation, and human-robot interaction powered by large language models.

With this mission, we are looking for passionate 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.

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.
• 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
• 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.

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