Machine Learning Engineer (Recommendation Systems)

TL;DR

Machine Learning Engineer (Ranking & Recommendation Systems): Building models that improve matching quality and marketplace outcomes in production with an accent on ranking, recommendations, and supply/demand dynamics. Focus on shipping recommender systems, tying model performance to product and business metrics, and operating in fast-moving startup environments.

Location: Onsite 5 days a week, San Francisco.

Company

Fast-growing talent marketplace building infrastructure to match companies with specialist recruiters by centralizing workflows and compounding network intelligence.

What you will do

• Build and deploy ranking and recommendation models in production.
• Improve match quality across a two-sided marketplace.
• Analyze supply and demand dynamics and marketplace incentives.
• Own the evolution of the ML function as an early hire.

Requirements

• Experience shipping recommendation or ranking systems in production.
• Strong applied ML fundamentals with a product mindset.
• Experience tying model performance to product and business metrics.
• Comfort in fast-moving startup environments.

Culture & Benefits

• Rapid revenue growth since seed round.
• Used by leading AI and high-growth tech companies.
• Thousands of successful placements.
• Marketplace generates significant earnings for recruiters.
• Real ownership and influence on ML function.