AI Research Scientist - Post Training - SF or Palo Alto
Company: JOB HR
Location: San Francisco
Posted on: June 1, 2025
Job Description:
Perplexity is seeking experienced AI Research Scientists to
continue to improve our in-house Online LLMs, the Sonar models.
Your job is to turn research ideas into algorithms and implement
them, running experiments and launching new models, and staying on
top of the latest research on LLMs, especially model training and
optimization.Responsibilities
- Understand the newest models and algorithms coming every week,
especially in post-training.
- Invent in-house improvements and optimizations to enhance SOTA
models.
- Post-train LLMs on query answering by using the latest in
supervised and reinforcement learning techniques.
- Work closely with engineering teams to integrate Sonar models
into our product.Qualifications
- Proven experience with LLM research 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 6 years of working on relevant projects.Nice-to-have
- PhD in Machine Learning or related areas.
- Experience in academic publications and impact.The cash
compensation range for this role is $220,000 - $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.Apply for this job* indicates a required fieldFirst
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Keywords: JOB HR, San Mateo , AI Research Scientist - Post Training - SF or Palo Alto, Other , San Francisco, California
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