Data & AI Engineering Intern

At Tomofun, we LOVE pets and technology. Our vision is to bring joy and innovation to every pet lover in the world.

We are pioneers in the pet tech industry. Our debut product, Furbo - the world's first AIoT treat-tossing pet camera, is the #1 bestseller on Amazon in 15 countries, including the US, UK, and JP and have millions of users in 133 countries. In 2019, we launched an AI-powered subscription service, the Furbo Pet Nanny, which sends smart alerts to our users to notify them to check on the safety of their furbabies when they are home alone. Since the launch of Furbo Pet Nanny, we have saved hundreds of pets' lives and are continuing to innovate and develop new features with our state-of-the-art technology.

The learning curve is steep. But the work is exhilarating. Tomofun is on the cusp of a pet-tech boom and we’re looking for smart, innovative thinkers who aspire to incredible things.

 

> Know more about us: furbo.com | LinkedIn | Medium Tech Blog

• 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.
• 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.
• 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.
• 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.

• Databricks on AWS (lakehouse, pipelines, Genie / Agent Bricks)
• Python and SQL
• Amplitude (product and marketing analytics)
• Tableau (stakeholder reporting)
• Claude and other AI agents / MCP-based tools
• Git-based version control

• Currently pursuing (or recently completed) a degree in Computer Science, Computer Engineering, Information Management, or a related field.
• 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.
• Strong learning ability: comfortable picking up new tools and platforms quickly, and figuring things out from documentation.
• 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.
• 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.

• 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.