Recommender Systems Lead

Description

We're looking to hire a Recommender Systems Lead, a senior professional with significant experience in the topic, coming from either a production-heavy industry background or a strong applied research background. You'll have the opportunity to introduce new modeling approaches, rigorously evaluate them, and see them deployed in a live system operating at global scale.

Responsibilities

• Developing, Testing and Deploying recommender systems
• Defining and owning success metrics (both for short-term and long-term horizons)
• Designing offline evaluation pipelines and online experimentation frameworks
• Showing clear performance improvements
• Translating research ideas into production-ready systems and measurable business impact
• Hiring and leading a small team

Requirements

• Proven experience building and operating production-grade ranking, personalization, or decision systems and/or leading applied research that was validated in real-world systems
• Experience in deploying systems with strict latency constraints
• Solid statistical and mathematical foundation
• High ownership and autonomy over a core company system
• Excellent English communication skills, both oral and written

Nice-to-Have

• Ability to work in the Bay Area or Zürich
• Publications or patents in relevant areas (e.g. recommender systems, ranking, bandits, applied ML), especially where ideas were validated on real-world data or systems

What We Offer

• The opportunity to significantly impact a young, dynamic startup.
• A competitive salary and equity package.
• Flexibility in terms of working hours with the possibility of remote work.
• Nice office in Zürich
• Drinks and snacks of your choice.