AI Research Engineer - Post Training - SF or Palo Alto San Francisco Bay Area

Perplexity AI Inc.; Bridgewater Township (NJ); On-site; USD 190,000 - 260,000; Full time

Job summary

An established industry player is on the lookout for top-tier AI Research Engineers to enhance their innovative Online LLMs. This role involves leveraging a rich dataset to improve model performance and deliver state-of-the-art query answering capabilities. As part of a rapidly growing team, you will tackle challenging problems using the latest supervised and reinforcement learning techniques. With significant funding and a commitment to excellence, this opportunity offers a dynamic environment where your contributions will directly impact the user experience and the future of AI technology.

Benefits

Comprehensive health insurance

Dental insurance

Vision insurance

401(k) plan

Equity options

Qualifications

• 2+ years of experience with large-scale LLMs and deep learning.
• Strong programming skills and a self-starter attitude.

Responsibilities

• Post-train SOTA LLMs using supervised and reinforcement learning.
• Own data, training, and evaluation pipelines for LLM models.
• Integrate Sonar models into products with engineering teams.

Skills

Large-scale LLMs

Deep Learning systems

Programming skills

Problem-solving

Education

PhD in Machine Learning or related areas

Job description

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 closely 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.

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.

Apply for this job

* indicates a required field

First Name *

Last Name *

Email *

Phone *

Resume/CV *

Accepted file types: pdf, doc, docx, txt, rtf

Website

LinkedIn Profile

Will you now or in the future require visa sponsorship for employment? * Select...

Are you open to a hybrid work schedule (In office M-W-F) * Select...

Are you located in the San Francisco Bay? * Select...

If you do not live in the San Francisco Bay Area, are you willing to relocate? Select...

Please give us a brief description of your current LLM Post Training experience or projects. *