Member of Technical Staff AI Researcher

Perplexity is an AI-powered answer engine that provides real-time, cited answers and research capabilities.

San Francisco, United States
About Perplexity

Private AI company founded in 2022. Its products combine conversational search and research with cited web sources; it also offers developer-facing Search, Agent, Router, and Embeddings APIs.

View jobs by Perplexity

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will research, train, and optimize large language models using supervised and reinforcement learning. You will build data, training, and evaluation pipelines, develop training frameworks, run experiments, integrate models into products, and translate user needs into model improvements.

Requirements

  • Large-scale LLM and deep learning systems
  • Python
  • PyTorch
  • Post-training techniques
  • Reinforcement learning
  • 2–6 years of relevant project experience

Responsibilities

  • Post-train LLMs using supervised and reinforcement learning techniques
  • Scale model performance using query and answer data
  • Research model training, optimization, and personalization techniques
  • Implement preference optimization and personalization capabilities
  • Invent model improvements and optimizations
  • Turn research ideas into algorithms, run experiments, and launch models
  • Own data, training, and evaluation pipelines
  • Build LLM post-training frameworks on Megatron and PyTorch
  • Implement infrastructure for large-scale model training
  • Integrate models into products
  • Partner with engineering and product teams on model improvements

Benefits

  • Equity
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Retirement benefits
  • Fitness account
  • Commuter account
  • Dependent care account