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Perplexity

AI Research Engineer - Post Training

Job Posted 24 Days Ago Reposted 24 Days Ago
In-Office
3 Locations
190K-260K
Junior
In-Office
3 Locations
190K-260K
Junior
Post-train state-of-the-art LLMs on query answering, develop full-stack data pipelines, and integrate models into products.
The summary above was generated by AI

Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. 

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.

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 may be 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
Llms
Python
Reinforcement Learning
Supervised Learning
HQ

Perplexity San Francisco, California, USA Office

575 Market St. SF 4th Floor, San Francisco, California, United States, 94105

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