AI Research Scientist - Post Training - SF or Palo Alto

Tbwa Chiat/Day Inc; San Francisco (CA); On-site; USD 220,000 - 260,000; Full time

Job summary

An innovative firm is on the lookout for experienced AI Research Scientists to enhance their cutting-edge LLMs. In this pivotal role, you will transform research concepts into algorithms, conduct experiments, and launch advanced models while keeping abreast of the latest developments in the field. You will collaborate closely with engineering teams to integrate these models into products, driving the company’s mission forward. If you are passionate about AI and eager to tackle challenging problems in a rapidly growing environment, this opportunity is perfect for you.

Benefits

Comprehensive health insurance

Dental insurance

Vision insurance

401(k) plan

Equity options

Qualifications

• 6+ years of experience in LLM research and deep learning systems.
• Strong programming skills and a passion for problem-solving.

Responsibilities

• Understand and implement the latest models and algorithms.
• Post-train LLMs using supervised and reinforcement learning techniques.

Skills

Deep Learning

Programming Skills

Self-starter

Problem Solving

Education

PhD in Machine Learning

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.

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