AI Machine Learning Engineer - Personalization - SF Or Palo Alto

Details

Perplexity is seeking experienced Applied AI & ML Engineers to help build next generation of personalization experience. In this role, you'll focus on improving user happiness on Perplexity by making the content highly relevant, personal and inspiring.

Responsibilities

• Architect and build the next generation of personalization platform and models which serves as the foundation of highly personalized Perplexity user journey
• Build effective data and models for LLM content and convert them into personalized ML signals which drives customized recommendation
• Work across stack to deliver various types of models (LLM to DNN) to end users in a scalable and performant way
• Partner with product managers and partner team engineers to ensure fast and high quality deliverable to end users

Requirements

• Strong programming skills with the ability to work across the stack in a typical recommendation system or LLM stack
• Experience in training DNN and Transformer architecture models
• Experience in working with other LLM APIs to complete tasks like fine tuning, prompt mining or prototyping new ideas
• Understands how to make tradeoffs in using different models
• Self-motivated with a willingness to take ownership of tasks
• A passion for shipping quality products
• 4+ years of industry experience

Benefits

• Equity may be part of the total compensation package
• Comprehensive health, dental, and vision insurance for you and your dependents
• Includes a 401(k) plan

Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed.