XPENG
Machine Learning Engineer - LLM, AI & Robotics
XPENG, Santa Clara, California, us, 95053
XPeng Motors
is known for its electric cars and leading autonomous driving technology. As a technology-driven company, we are also developing advanced humanoid robots for various applications in industries. AI is at the core of all these efforts. With this mission, we are looking for passionate engineers of all levels who will build large language models/foundation models together with us to shape this new future of Robotics & AI. You will work on a lean team without boundaries. Your influence will be on every single product that is shipped.Job ResponsibilitiesFine-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 datasets and computational resources.Explore novel ways to generate synthetic data to improve 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 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 with 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 a significant impact on the transportation revolution by advancing autonomous driving.Opportunity to work on cutting-edge technologies with top talent in the field.Competitive compensation package.Snacks, lunches, and fun activities.The base salary range for this full-time position is $180,000-$300,000, 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. 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, marital status, or any other prescribed category set forth in federal or state regulations.
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is known for its electric cars and leading autonomous driving technology. As a technology-driven company, we are also developing advanced humanoid robots for various applications in industries. AI is at the core of all these efforts. With this mission, we are looking for passionate engineers of all levels who will build large language models/foundation models together with us to shape this new future of Robotics & AI. You will work on a lean team without boundaries. Your influence will be on every single product that is shipped.Job ResponsibilitiesFine-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 datasets and computational resources.Explore novel ways to generate synthetic data to improve 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 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 with 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 a significant impact on the transportation revolution by advancing autonomous driving.Opportunity to work on cutting-edge technologies with top talent in the field.Competitive compensation package.Snacks, lunches, and fun activities.The base salary range for this full-time position is $180,000-$300,000, 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. 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, marital status, or any other prescribed category set forth in federal or state regulations.
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