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Perplexity

AI Research Engineer - Post Training - SF or Palo Alto

Posted 6 Days Ago
Be an Early Applicant
7 Locations
Junior
7 Locations
Junior
The AI Research Engineer will improve in-house Online LLMs by post-training using supervised and reinforcement learning techniques, managing data and training pipelines for optimal model performance, and collaborating with engineering teams.
The summary above was generated by AI

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.


Top Skills

Deep Learning
Large-Scale Llms
Reinforcement Learning
Supervised Learning

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