ML Engineer, Personalization & Recommendations

Perplexity; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Perplexity is looking for experienced ML engineers who will design, build, and optimize recommendation systems integral to its core experiences. The ideal candidates will have hands-on experience in production ML systems, especially focused on personalization and ranking.

Responsibilities include building user modeling, shaping technical direction, and driving impactful user experiences. Perplexity emphasizes a culture of craftsmanship, ownership, and entrepreneurial spirit.

Qualifications

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

Responsibilities

• Own the personalization and ranking behind key product surfaces.
• Build user modeling that captures intent and preference.
• Design the decision layer for optimal user experience.

Skills

Machine Learning fundamentals

Hands-on experience with recommendation systems

Integration of LLMs into systems

User modeling skills

Job description

Perplexity is looking for experienced ML engineers who will design, build, and optimize recommendation systems integral to its core experiences. The ideal candidates will have hands-on experience in production ML systems, especially focused on personalization and ranking.

Responsibilities include building user modeling, shaping technical direction, and driving impactful user experiences. Perplexity emphasizes a culture of craftsmanship, ownership, and entrepreneurial spirit.