About Us
- Research & Benchmarking — Survey industry and open-source approaches in AI + data governance (metadata & lineage platforms, semantic layers, data quality frameworks, NL2SQL / NL2Metric); produce a best-practice proposal adapted to our tech stack.
- Data Model Governance — Build AI-assisted model review capabilities: naming convention and layering (ODS/DWD/DWS/ADS) validation, duplicate and redundant model detection, lineage-based identification of unused / low-value / high-cost assets, and automated refactoring recommendations.
- Metric Semantic Automation — Automatically extract and standardize metric definitions from SQL, lineage, and documentation; detect definition conflicts and redundant builds of the same metric across different reports; maintain a machine-readable semantic layer to support natural language metric queries.
- Data Quality Automation — Auto-generate quality rules based on data profiling and lineage (replacing hand-written rules); perform anomaly detection on data volume, distribution, timeliness, and schema drift; conduct root cause analysis along lineage; implement automated alert grading and remediation recommendations (or auto-remediation).
- MVP Delivery — Run at least one end-to-end implementation across the three areas: problem definition → solution design → prototype → deployment on a real data domain → quantified results (coverage, precision/recall of issue detection, manual effort saved) → iteration.
- Documentation & Communication — Produce solution designs, evaluation methodologies, and results; present findings to platform and data stakeholders; deliver a reusable framework rather than one-off scripts.
- Undergraduate or graduate student in Computer Science, Data Science, Statistics, or a related field.
- Solid proficiency in SQL and Python. Understanding of data warehouse fundamentals — dimensional modeling, layered architecture, metadata, and lineage. Experience with Spark / Flink / Hive / StarRocks is a plus.
- Hands-on experience with LLM application development: prompt engineering, RAG, Agent / tool-calling frameworks (e.g., LangChain, LlamaIndex, MCP), with the ability to evaluate whether an LLM system is actually effective.
- Structured thinking: able to distill a vague governance pain point into a well-defined problem with quantifiable success criteria, and honestly articulate what the MVP validated and what it did not.
- Self-driven and comfortable with ambiguity — this is an exploratory project with no predetermined answers.
- Bonus: experience with DataHub / OpenMetadata / Atlas, dbt, Great Expectations / Deequ, or any metrics / semantic layer tooling.
- Able to read technical materials in English; clear written communication skills.
- Minimum 3-month internship commitment, 5 days per week on-site.
- Fluent in Mandarin is required.
Why Join Us
At Bybit, we are committed to fostering a supportive and enriching work environment.
Our benefits include:
- Study Growth Fund: We support your professional development and continuous learning.
- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.
Skills Required
- Undergraduate or graduate student in Computer Science, Data Science, Statistics, or a related field
- Solid proficiency in SQL and Python
- Understanding of data warehouse fundamentals, including dimensional modeling, layered architecture, metadata, and lineage
- Hands-on experience developing LLM applications, including prompt engineering, RAG, agent or tool-calling frameworks, and LLM system evaluation
- Ability to define ambiguous governance problems and establish quantifiable success criteria
- Self-driven and comfortable working in an exploratory environment with ambiguity
- Ability to read technical materials in English and communicate clearly in writing
- Minimum three-month internship commitment and availability five days per week on-site
- Fluent Mandarin
- Experience with Spark, Flink, Hive, or StarRocks
- Experience with DataHub, OpenMetadata, Atlas, dbt, Great Expectations, Deequ, or metrics and semantic-layer tooling
What We Do
Since its inception in March 2018, Bybit has emerged as a leading cryptocurrency exchange, offering a comprehensive suite of tailored crypto services and product solutions meticulously crafted for retail and institutional traders alike. Trusted by millions worldwide, Bybit continues to push the boundaries of innovation, consistently refining and expanding its multi-spectral product offerings. At the heart of Bybit's mission lies the unwavering commitment to providing a secure, reliable, and transparent trading platform that empowers investors to seamlessly navigate the dynamic world of crypto. Whether you seek to explore Spot or Derivatives trading, harness the potential of Mining and Staking products, or leverage API support for algorithmic trading, Bybit empowers you to take control of your crypto journey. As pioneers in the ever-evolving Web3 landscape, Bybit meticulously curates and incubates innovative crypto projects, decentralized solutions, and data-driven research, fostering a vibrant ecosystem of crypto education and growth opportunities. Our core values of empathy, responsiveness, and continuous improvement permeate every aspect of our operations, shaping an inclusive environment where every individual feels valued and empowered. Bybit actively collaborates with regulatory bodies and institutions worldwide, playing a pivotal role in establishing robust safety and security frameworks, paving the way for a secure and dynamic future of crypto. Embrace the Digital Revolution with Bybit: Your Trusted Partner in the Crypto Frontier. #CryptoArk #Bybit
