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Job Description
Perplexity is looking for an AI Research Engineer to enhance its in-house Online LLMs, the Sonar models. The ideal candidate will leverage Perplexity's extensive query/answer dataset to improve Sonar model performance and deliver a state-of-the-art Online LLM experience.Responsibilities:
  • Post-train SOTA LLMs on query answering using supervised and reinforcement learning techniques.
  • Own the full-stack data, training, and evaluation pipelines for post-training LLM models.
  • Deliver Sonar models that provide SOTA query answering.
  • Collaborate with engineering teams to integrate Sonar models into the product.
Qualifications:
  • Proven experience with large-scale LLMs and Deep Learning systems.
  • Strong programming skills and versatility.
  • Self-starter with a willingness to take ownership of tasks.
  • Passion for tackling challenging problems.
  • Minimum of 2 years of experience working on relevant projects.
Nice-to-have:
  • PhD in Machine Learning or related areas.
  • Experience in post-training LLMs with SFT/DPO/GRPO.
Perplexity offers:
  • Cash compensation range: $190,000 - $260,000.
  • Equity may be part of the total compensation package.
  • Comprehensive health, dental, and vision insurance.
  • 401(k) plan.
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