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Job Description
Perplexity is looking for an AI Training Infrastructure Engineer to enhance their in-house Online LLMs, the Sonar models. The ideal candidate will collaborate with the team to develop a robust training framework, particularly for post-training LLMs. This role involves building and maintaining the infrastructure necessary to support cutting-edge model training at scale.

Responsibilities:
  • Build a post training framework that can run cutting-edge model training jobs in scale
  • Implement the necessary infra and components to support latest models and algorithms like SFT, RL (DPO/GRPO) and more
  • Own the full stack data, training, and eval pipelines required to post-train LLM models
  • Work closing with engineering teams to integrate Sonar models into our product.

Requirements:
  • Proven experience with large-scale LLMs frameworks building
  • Strong in Python/Pytorch; C++/CUDA is a plus
  • Self-starter with a willingness to take ownership of tasks
  • Passion for tackling challenging problems
  • Minimum of 6 years of working on relevant projects.

Perplexity offers:
  • Equity
  • Comprehensive health, dental, and vision insurance
  • 401(k) plan
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