ML Engineer, Personalization & Recommendations

Pantera Capital; Palo Alto (CA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Pantera Capital is looking for experienced ML engineers to design and optimize the recommendation systems that enhance core experiences on Perplexity. This role involves building user models and decision layers that improve personalization and ranking.

The ideal candidate will have hands-on experience with production recommendation systems and strong fundamentals in machine learning. Join us in powering curiosity and driving impactful change.

Qualifications

• Deep, hands-on experience building production recommendation, ranking or personalization systems at scale.
• Strong ML fundamentals, covering engagement modeling, model calibration, offline and online metrics.
• Experience integrating LLMs into ranking, retrieval, or personalization pipelines.

Responsibilities

• Own personalization and ranking behind key product surfaces.
• Build user modeling that captures intent, preference, and propensity.
• Design decision layer balancing competing objectives for user experience.

Skills

Building production recommendation systems

Strong ML fundamentals

Integrating LLMs

User modeling

Job description

Pantera Capital is looking for experienced ML engineers to design and optimize the recommendation systems that enhance core experiences on Perplexity. This role involves building user models and decision layers that improve personalization and ranking.

The ideal candidate will have hands-on experience with production recommendation systems and strong fundamentals in machine learning. Join us in powering curiosity and driving impactful change.