Machine Learning Engineer - LLM, AI & Robotics

<div data-page-id="CAhBdXKWfoer6mxyhFkcHGjWnAd" data-docx-has-block-data="false"> <div class="ace-line ace-line old-record-id-doxcn2atABN9IZvAkfHpwYEwnXf"> <div data-page-id="NHHBd23AUofZPTxmk7bcM0panhK" data-lark-html-role="root" data-docx-has-block-data="false"> <div class="ace-line ace-line old-record-id-doxcnfe0pFliwgJdzD2RxO0A3lg"> <div class="page"> <div class="section"> <div class="layoutArea"> <div class="column"> <p><span class="text-only" data-eleid="3"><span class="text-only"><strong>XPENG</strong> is a leading smart technology company at the forefront of innovation, integrating advanced </span><span class="text-only text-with-abbreviation text-with-abbreviation-bottomline">AI</span><span class="text-only"> and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (</span><span class="text-only text-with-abbreviation text-with-abbreviation-bottomline">eVTOL</span><span class="text-only">) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&amp;D in AI, </span><span class="text-only text-with-abbreviation text-with-abbreviation-bottomline">machine learning</span><span class="text-only">, and smart connectivity.</span></span></p> <p><strong>Job Responsibilities</strong></p> <ul> <li> <p>Fine-tune the pre-trained LLM on particular use cases in Humanoid Robots and Autonomous Driving Cars, e.g. chat, API calling, etc.</p> </li> <li> <p>Work on efficient LLMs (e.g. small LLMs, weight sharing, model quantization, etc.) that can be deployed locally in Robots and Cars.</p> </li> <li> <p>Develop and maintain the LLM (including multi-modal LLM) training and deployment pipelines that could scale to massive production.</p> </li> <li> <p>Work on efficient and effective ways to leverage large scale dataset and computational resource.</p> </li> <li> <p>Explore novel ways to generate synthetic data to improve the data diversity &amp; quality.</p> </li> <li> <p>Communicate and align with different teams on product needs across the company</p> </li> </ul> <p><strong>Minimum Skill Requirements:</strong></p> <ul> <li> <p>Ph.D in Computer Science or related fields.</p> </li> <li> <p>Solid background in machine learning, natural language processing (NLP), computer vision,</p> <p>speech or data.</p> </li> <li> <p>Experience in working with LLMs</p> </li> <li> <p>Strong python programming skills &amp; software development, and strong experience with any</p> <p>major deep learning framework.</p> </li> <li>&nbsp;Open-minded, collaborative and excellent communication skills</li> </ul> <p><strong>Preferred Skill Requirements:</strong></p> <ul> <li> <p>Deep understanding of language model modern architectures, ‘under the hood’ LLM training knowledge, quantization techniques, etc.</p> </li> <li> <p>Familiarity of large language models (LLMs) relevant technologies, such as SFT, RLHF, prompt engineering, RAG, etc.</p> </li> <li> <p>Record of publications, innovations or leadership.</p> </li> </ul> </div> </div> </div> </div> <div class="page"> <div class="section"> <div class="layoutArea"> <div class="column"> <p><strong>What do we provide:</strong></p> <ul> <li> <p>A fun, supportive and engaging environment</p> </li> <li> <p>Opportunity to make significant impact on transportation revolution by the means of</p> <p>advancing autonomous driving</p> </li> <li> <p>Opportunity to work on cutting edge technologies with the top talent in the field</p> </li> <li> <p>Competitive compensation package</p> </li> <li> <p>Snacks, lunches, and fun activities</p> </li> </ul> <div class="ace-line ace-line old-record-id-BhtZdlPmfoprHVxPkBscjVlwnkN">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.</div> <div class="ace-line ace-line old-record-id-LBQUdavqfoweoXxvzm6cGsc1nEb">&nbsp;</div> <div class="ace-line ace-line old-record-id-H4EgdMHpKoeGtJxoLtuc2emUnbb">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.</div> <p>&nbsp;</p> </div> </div> </div> </div> </div> </div> </div> </div>