AI/ML Engineer at Known — VC-backed AI Dating Startup

You will own the core matchmaking, recommendation, and ranking systems from zero to production scale. As an early engineer, you will shape the algorithm that defines how users find connection, moving beyond swiping to a high-intent, single-match experience. You'll work directly with founders from Uber and Cash App in San Francisco.

• Design and implement the end-to-end matchmaking and ranking architecture that powers the voice-first user experience.
• Scale production systems from early-stage San Francisco beta to millions of global users while maintaining high-quality personalization.
• Lead and grow a small technical team as the company expands its engineering footprint following its recent seed round.

• Proven track record building and scaling user-facing recommendation or matching algorithms at a high-growth consumer company (e.g., Tinder, Instagram, Spotify).
• Early-stage veteran who has joined a startup during its 0→1 phase and stayed to see their systems reach significant production scale.
• Technical leader who has experience growing small teams and is passionate about solving deep personalization challenges for end-users.

• Impact a core product where the recommendation engine is the entire user experience, achieving an 80% date-success rate in early beta.
• Join a high-caliber team backed by $10M from top-tier investors including Forerunner Ventures, NFX, and Pear VC.
• Work in person in Cow Hollow, SF, with founders who have previously scaled AI products at Uber, Cosmos, and Faire.