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Job Description
Perplexity is seeking an experienced AI Research/Machine Learning Engineer to work on Agent Products. The candidate will be responsible for designing production and training systems for LLM-powered agents, partnering with the Core Research & Post-Training Team to refine models against Perplexity’s retrieval index, and devising multi-turn Evals for browser and deep research agents. They will also improve the codebase and collaborate with stakeholders to develop integrated product solutions.

Responsibilities:
  • Design a production and training system for LLM-powered agents.
  • Partner with the Core Research & Post-Training Team to refine models.
  • Devise multi-turn Evals for browser and deep research agents.
  • Improve the speed and quality of the codebase.
  • Collaborate with stakeholders to develop integrated product solutions.

Qualifications:
  • Proven research experience with large-scale LLMs and Deep Learning systems.
  • Strong Post-Training skills.
  • A strong consumer product intuition for Agent products.
  • Understands how to make tradeoffs in developing an end-to-end agent.
  • Minimum of 5 years of working on relevant deep learning research areas.

Perplexity offers:
  • Equity may be part of the total compensation package.
  • Comprehensive health, dental, and vision insurance.
  • Includes a 401(k) plan.
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