Remote Data Jobs · Recommendation Systems

• Develop and enhance generative models for recommendation systems within the LLM framework.
• Contribute to the development of APIs and ETLs, ensuring efficiency and integration with other teams.
• Improve existing models and systems to optimize user experience on the iFood app.

iFood is a Brazilian technology company that connects thousands of restaurants to millions of consumers daily, averaging 100 million monthly orders. The team is passionate about innovation and technology, always seeking new learning and challenges.

• Design and manage search recommendation services and models to support the content team.
• Utilize machine learning-based personalization to enhance content matching and distribution.
• Collaborate with cross-functional teams to identify needs and define success metrics.

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Trusted by over 300 million people in 100+ countries, Binance offers a range of products from trading to Web3 with a flat organizational structure and a focus on user-centric innovation.

• Own and improve recommendation and search systems across feed, discovery, search, and content continuation surfaces.
• Design, launch, and analyze recommendation/search experiments end-to-end, then use the data to iterate quickly.
• Build user, content, creator, and session-level representations from behavioral signals.

Sekai is building the TikTok for mini apps — an AI-driven consumer platform where people create, remix, share, and play interactive content instantly. They are a Series A company backed by Khosla, a16z, Mayfield, and A*, with $30M raised to date, and are a remote-first team looking for ambitious, AI-native builders.