AI Research Engineer - Sonar Training

San Francisco Bay Area

Job Description

This job posting has expired and no longer accepting applications.

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.

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 building distributed systems.

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.

To support our rapid expansion, we've raised significant funding from some of the most respected investors in technology. In January 2024, we raised $73.6 million in a Series B round led by IVP, with participation from NVIDIA, Jeff Bezos' investment fund, NEA, Databricks, and other prominent firms. We followed that up with a $62.7 million Series B1 round in April 2024 led by Daniel Gross, valuing Perplexity at over $1 billion.
Our prominent investor base includes IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Naval Ravikant, Tobi Lutke, and many other visionary individuals.

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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