NLP Algorithm Engineer Intern
Company hidden until unlock
- Seniority
- Junior
- Work model
- Remote
- Location
- APAC - Remote
- Posted
- 5d ago
Company hidden until unlock
<div class="content-intro"><p><strong>About Us</strong></p> <div data-page-id="HladdPLXIoNz4nxkqkCuk4rAs8v" data-lark-html-role="root" data-docx-has-block-data="false"> <div class="ace-line ace-line old-record-id-XCikdRR2xoZIjdxtCKcuOflrs8d">Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.</div> <div class="ace-line ace-line old-record-id-IF06dI0MPoBwYfxbZ4zui13HsoC"> </div> <div class="ace-line ace-line old-record-id-X5EbdOwvMoYuOmxQBbuueUEDsDd">Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.</div> <div class="ace-line ace-line old-record-id-LtVud2dO7oglqJxxZoOucqjJsPc"> </div> <div class="ace-line ace-line old-record-id-RMHkdm4bPo66l3xMVO8ui1o8sle">Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.</div> </div></div><h3 data-path-to-node="6"><strong data-path-to-node="6" data-index-in-node="0">Key Responsibilities</strong></h3> <ul data-path-to-node="7"> <li> <p data-path-to-node="7,0,0"><strong data-path-to-node="7,0,0" data-index-in-node="0">LLM Application Development:</strong> Participate in the development of LLM-based applications, including Q&A systems, Agents, and algorithmic workflow systems.</p> </li> <li> <p data-path-to-node="7,1,0"><strong data-path-to-node="7,1,0" data-index-in-node="0">Workflow & Prompt Engineering:</strong> Assist in workflow development, as well as Prompt design and optimization to improve model performance.</p> </li> <li> <p data-path-to-node="7,2,0"><strong data-path-to-node="7,2,0" data-index-in-node="0">Agent Capabilities:</strong> Assist in implementing Tool Use (Function Calling) and foundational multi-turn dialogue logic.</p> </li> <li> <p data-path-to-node="7,3,0"><strong data-path-to-node="7,3,0" data-index-in-node="0">Core NLP Tasks:</strong> Implement tasks such as text classification, information extraction, and semantic matching.</p> </li> <li> <p data-path-to-node="7,4,0"><strong data-path-to-node="7,4,0" data-index-in-node="0">Model Modeling:</strong> Participate in small-scale modeling (classification/labeling tasks) and performance optimization.</p> </li> <li> <p data-path-to-node="7,5,0"><strong data-path-to-node="7,5,0" data-index-in-node="0">Data Management:</strong> Perform data cleaning, basic feature engineering, and result analysis.</p> </li> </ul> <h3 data-path-to-node="9"><strong data-path-to-node="9" data-index-in-node="0">Job Requirements</strong></h3> <h4 data-path-to-node="10"><strong data-path-to-node="10" data-index-in-node="0">Basic Requirements</strong></h4> <ul data-path-to-node="11"> <li> <p data-path-to-node="11,0,0"><strong data-path-to-node="11,0,0" data-index-in-node="0">Coding Proficiency:</strong> Proficient in <strong data-path-to-node="11,0,0" data-index-in-node="34">Python</strong> with good coding habits and strong problem-solving skills.</p> </li> <li> <p data-path-to-node="11,1,0"><strong data-path-to-node="11,1,0" data-index-in-node="0">NLP Fundamentals:</strong> Familiar with common NLP tasks (Text Classification, NER, Semantic Matching, etc.) and their standard methodologies.</p> </li> <li> <p data-path-to-node="11,2,0"><strong data-path-to-node="11,2,0" data-index-in-node="0">Modeling Experience:</strong> Capable of independently completing the training and fine-tuning of simple classification or labeling models.</p> </li> <li> <p data-path-to-node="11,3,0"><strong data-path-to-node="11,3,0" data-index-in-node="0">Theoretical Knowledge:</strong> Deep understanding of <strong data-path-to-node="11,3,0" data-index-in-node="45">Transformer / BERT</strong> principles (structure, training objectives, and application scenarios).</p> </li> <li> <p data-path-to-node="11,4,0"><strong data-path-to-node="11,4,0" data-index-in-node="0">LLM Exposure:</strong> Experience with Large Language Models (e.g., API calls, basic Prompt Engineering).</p> </li> <li> <p data-path-to-node="11,5,0"><strong data-path-to-node="11,5,0" data-index-in-node="0">Agent Concepts:</strong> Understanding of Agent fundamentals (e.g., Tool Use, multi-turn dialogue) or experience with basic implementations.</p> </li> </ul> <h4 data-path-to-node="12"><strong data-path-to-node="12" data-index-in-node="0">Preferred Qualifications (Plus)</strong></h4> <ul data-path-to-node="13"> <li> <p data-path-to-node="13,0,0"><strong data-path-to-node="13,0,0" data-index-in-node="0">Practical Experience:</strong> Hands-on experience with Q&A systems (QA / Chatbot) or RAG (Retrieval-Augmented Generation) frameworks.</p> </li> <li> <p data-path-to-node="13,1,0"><strong data-path-to-node="13,1,0" data-index-in-node="0">ML/DL Foundations:</strong> Solid understanding of Machine Learning/Deep Learning (training workflows, loss functions, etc.).</p> </li> <li> <p data-path-to-node="13,2,0"><strong data-path-to-node="13,2,0" data-index-in-node="0">Software Engineering:</strong> Proficiency in <strong data-path-to-node="13,2,0" data-index-in-node="37">Java</strong> or experience in backend development (API design and service implementation).</p> </