AI Research Engineer - Post Training

San Francisco Bay Area

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Perplexity is seeking top level AI Research Engineers 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.

Responsibilities

  • 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

Qualifications

  • 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

Nice-to-have

  • PhD in Machine Learning or related areas.
  • Experience in post-training LLMs with SFT/DPO/GRPO.

The cash compensation range for this role is $190,000 - $260,000.

At Perplexity, we've experienced tremendous growth and adoption since publicly launching the world's first fully functional conversational answer engine in 2022. We've grown from answering 2.5 million questions per day at the start of 2024 to around 20 million daily queries in December 2024. We also offer Perplexity Enterprise Pro, which counts leading companies like Nvidia, the Cleveland Cavaliers, Bridgewater, and Zoom as customers.

To support our rapid expansion, we've raised significant funding from some of the most respected technology investors. Our investor base includes IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Daniel Gross, Naval Ravikant, Tobi Lutke, and many other visionary individuals. In 2024, our employee base grew nearly 300%, and we're just getting started.

Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.

Equity: In addition to the base salary, equity is part of the total compensation package.
Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

 

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Tags: Databricks Deep Learning Engineering LLMs Machine Learning PhD Pipelines Reinforcement Learning Research

Perks/benefits: Career development Equity / stock options Health care

Region: North America
Country: United States

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