AI Machine Learning Engineer - Personalization

AI Machine Learning Engineer - Personalization

Join to apply for the AI Machine Learning Engineer - Personalization role at Perplexity

AI Machine Learning Engineer - Personalization

Join to apply for the AI Machine Learning Engineer - Personalization role at Perplexity

Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious.
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
  

Qualifications

• 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
  

The cash compensation range for this role is $200,000 - $280,000.
Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.
Equity: In addition to the base salary, equity may be part of the total compensation package.
Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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