AI Research Engineer - LLM Training

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Perplexity

Perplexity is seeking experienced AI Research Engineers and Scientists to continue to improve our in house Online LLMs, the Sonar models. Your job is to take advantage of our rich query/answer dataset to continue to scale our Sonar model performance and provide the SOTA Online LLM experience to our users.

About the role:

  • Post-train SOTA LLMs on query answering by using the latest in supervised and reinforcement learning techniques.
  • Own the full stack data, training, and eval pipelines required to post-train LLM models.
  • Deliver Sonar models that provide SOTA query answering.
  • Work closing with engineering teams to integrate Sonar models into our product.

What we’re looking for:

  • Proven experience with large-scale LLMs and Deep Learning systems.
  • Strong programming skills; versatility is a plus.
  • Self-starter with a willingness to take ownership of tasks.
  • Passion for tackling challenging problems.
  • Minimum of 2 years of working on relevant projects.

Compensation, benefits and perks (US):

The cash compensation range for this role is $200,000 - $280,000.

At Perplexity, we've experienced tremendous growth and adoption since publicly launching the world's first fully functional conversational answer engine just over a year ago. Our AI-powered search assistant has amassed 10 million monthly active users as of early 2024, with our mobile apps installed over 1 million times across iOS and Android devices. In 2023 alone, we served over 500 million queries from users around the globe.

Location

    San Francisco

Job type

  • Fulltime

Role

Engineering