Tomofun - Data & AI Engineering Intern

Taipei, Taiwan3w ago

In Office Intern APAC Cloud Computing Artificial Intelligence Engineering Intern Data Science Intern Mandarin Documentation Technical Writing Product Marketing Git

Requirements

• Currently pursuing (or recently completed) a degree in Computer Science, Computer Engineering, Information Management, or a related field. • Computer Science • Hands-on experience using AI tools (e.g. Claude, ChatGPT, Cursor, GitHub Copilot) to build or automate something real, not just for chat. Please share an example in your application. • Working knowledge of Python, and basic SQL. • Python • Strong learning ability: comfortable picking up new tools and platforms quickly, and figuring things out from documentation. • Strong learning ability: • Attention to detail and a habit of checking whether data "looks right." • Able to commit 2–3 days per week for at least 3 months. • 2–3 days per week • 3 months • Good communication in Mandarin and English (reading and writing technical English is essential). • Experience with web scraping or browser automation (e.g. Playwright, Selenium, Puppeteer). • Exposure to ETL/ELT concepts, data pipelines, or cloud data platforms (Databricks, Spark, BigQuery, Snowflake). • Experience building or evaluating LLM applications: prompt engineering, RAG, agent frameworks, or LLM evaluation. • Familiarity with digital advertising platforms (Meta, Google, TikTok, Amazon Ads). • Personal projects or GitHub repos that show how you build and learn. • 【 What You'll Gain 】 • Real ownership of production data work, with mentorship from an experienced data team. • Hands-on experience applying AI agents to data engineering and analytics, a skill set most companies are only starting to build. • Exposure to a global consumer IoT + subscription business across marketing, growth, and product. • An opportunity to extend up to 12 months based on performance and team needs.

Responsibilities

• AI-powered data collection: Use AI tools and agents (e.g. Claude, browser automation, scheduled workflows) to set up recurring collection of marketing data, including from advertising and e-commerce platforms that don't offer a public API. • AI-powered data collection: • Data ingestion & cleaning pipelines: Maintain and monitor ingestion and cleaning pipelines in Databricks. Investigate failed jobs, fix schema changes caused by upstream platform updates, and help catch data discrepancies before stakeholders do. • Data ingestion & cleaning pipelines: • Agent answer quality: Review and tag question–answer pairs from our internal Analytics Agents, build evaluation sets, and help fine-tune prompts, semantic definitions, and knowledge sources to improve answer accuracy. • Agent answer quality: • Documentation: Write clear runbooks and notes for the pipelines and agent workflows you work on, so the team can build on them after your internship. • Documentation: • 【 Our Stack 】 • Databricks on AWS (lakehouse, pipelines, Genie / Agent Bricks) • Databricks • Python • Amplitude (product and marketing analytics) • Amplitude • Tableau (stakeholder reporting) • Tableau • Claude and other AI agents / MCP-based tools • Claude • Git-based version control

Benefits

• Work with an international team at our Taiwan HQ on problems with global impact. • An open, transparent working environment where your ideas are heard. • Pet-friendly office: bring your fur babies to work! • A LOT of free snacks and drinks for humans and furkids. • Afternoon tea twice a month and monthly birthday parties. • See how a modern data team uses AI agents in production, not just in demos. • Build things that marketing and product teams across the world will use. • If you love building with AI, learn fast, and want to turn messy real-world data into something useful, we'd love to hear from you!