AI Research Scientist - Post Training

ZipRecruiter; San Francisco (CA); On-site; USD 238,000 - 330,000; Full time

Job summary

A leading company in the AI field is seeking experienced AI Research Scientists to innovate and optimize their LLMs. The role involves transforming cutting-edge research into practical applications, focusing on enhancing state-of-the-art models and collaborating with engineering teams. Candidates should have substantial experience in deep learning, strong programming skills, and a passion for solving complex problems.

Benefits

Comprehensive health, dental, and vision insurance

401(k) plan

Qualifications

• Minimum of 6 years of relevant experience.
• Experience with LLMs and deep learning systems.
• Versatility in programming skills.

Responsibilities

• Turn research ideas into algorithms, implementing and running experiments.
• Post-train LLMs on query answering using supervised and reinforcement learning techniques.
• Work closely with engineering teams for model integration.

Skills

Programming

Deep Learning

LLM Research

Problem Solving

Education

PhD in Machine Learning or related areas

Job description

Job DescriptionJob Description

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.

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 launch new models, and stay on top of the latest research on LLMs, especially model training and optimization.

Responsibilities

• Understand the newest models and algorithm 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 closing 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 on academia publications and impact.

The cash compensation range for this role is $238,000 - $330,000.

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.