Lead AI/ML Engineer — Scalable Personalization Engine

Jack & Jill; San Francisco (CA); On-site; USD 250,000 - 400,000; Full time

Job summary

Known is seeking an AI/ML Engineer to own the core matching and recommendation engines from zero to production scale in a San Francisco-based role. You will work with founders from Uber and Cash App to build systems that define the user experience for a voice-first dating app, focusing on scalable, high-signal personalization.

The ideal candidate brings experience building and scaling user-facing recommendation/ranking algorithms at an early-stage consumer company and has led small technical

Qualifications

• Proven experience building and scaling user-facing recommendation, matching, or ranking algorithms at an early-stage consumer company.
• Experience leading small technical teams and shipping user-facing personalization features.
• Ability to take systems from prototype to production at scale.

Responsibilities

• Design and implement production-scale recommendation and ranking algorithms powering the core single-match experience.
• Lead transitions from experimental prototypes to robust, scalable production environments.
• Grow and mentor a small, high-performing technical team while shipping high-quality personalization features.

Job description

Known is seeking an AI/ML Engineer to own the core matching and recommendation engines from zero to production scale in a San Francisco-based role. You will work with founders from Uber and Cash App to build systems that define the user experience for a voice-first dating app, focusing on scalable, high-signal personalization.

The ideal candidate brings experience building and scaling user-facing recommendation/ranking algorithms at an early-stage consumer company and has led small technical