Tech Lead - AI Engagement

at Perplexity AI
📍 New York City, United States
📍 Palo Alto, United States
📍 San Francisco, United States
USD 250,000-325,000 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Python @ 3 GCP @ 3 Machine Learning @ 7 Data Science @ 7 TensorFlow @ 7 AWS @ 3 Data Engineering @ 3 API @ 4 LLM @ 4 PyTorch @ 7

Details

Perplexity is an AI-powered answer engine founded in December 2022. The company builds accurate, trustworthy AI to power decision-making and assistive AI across products that handle hundreds of millions of queries per month. Perplexity is seeking an experienced Tech Lead to drive user engagement across personalization, discovery, agents, and evaluation systems using AI/ML techniques.

Responsibilities

  • Lead the research, design, and implementation of an end-to-end engagement platform that powers different AI applications at Perplexity.
  • Define the future of Perplexity’s AI & ML systems, transforming the product into an engagement powerhouse.
  • Collaborate with product, search, browser, and other AI teams to implement compatible, cross-platform solutions to increase user retention.
  • Stay current with the latest advancements in AI and apply new research, frameworks, and tools to improve personalization and discovery systems.
  • Mentor and guide a team of engineers, fostering technical excellence, innovation, and continuous learning.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or a related field (PhD preferred).
  • 10+ years of experience in AI/ML engineering with a proven track record of building and deploying large-scale, consumer-facing personalization or recommendation systems.
  • Experience developing LLM techniques — including post-training, evaluation, inference, and APIs.
  • Business and technical acumen in using AI techniques such as prompt engineering and Retrieval-Augmented Generation (RAG) to solve product problems.
  • Deep expertise in machine learning, deep learning, and data science, with hands-on experience using frameworks such as TensorFlow, PyTorch, and modern LLMs.
  • Proficiency in Python and familiarity with production ML pipelines, cloud services (e.g., AWS, GCP), and data engineering best practices.
  • Strong understanding of user engagement metrics and experience applying AI/ML to optimize user-facing products.
  • Curiosity, adaptability, and a drive for continuous learning and innovation in the rapidly evolving AI landscape.

Compensation & Benefits

  • Cash compensation range: $250,000 - $325,000 per year. Final offer amounts depend on experience and expertise.
  • Equity may be part of the total compensation package.
  • Benefits include comprehensive health, dental, and vision insurance for you and your dependents, and a 401(k) plan.