Tbwa Chiat/Day Inc
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. Apply for this job
* indicates a required field First Name * Last Name * Email * Phone * Location (City) Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website Have you ever worked at Xpeng or any of its affiliates? * Select... Do you have any family members or relatives working previously or presently at XPeng or any of its affiliates? * Select... If yes, please explain. *
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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. Apply for this job
* indicates a required field First Name * Last Name * Email * Phone * Location (City) Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website Have you ever worked at Xpeng or any of its affiliates? * Select... Do you have any family members or relatives working previously or presently at XPeng or any of its affiliates? * Select... If yes, please explain. *
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