AI Research Scientist - Post Training

Details

Perplexity is an AI-powered answer engine founded in December 2022. The company is rapidly growing as one of the world’s leading AI platforms and receives substantial venture investment. Perplexity’s objective is to build accurate, trustworthy AI that powers decision-making and assistive AI wherever decisions are being made. The platform answers hundreds of millions of queries per month.

This role focuses on improving Perplexity's in-house online LLMs (the Sonar models). You will turn research ideas into algorithms, implement them, run experiments, launch new models, and keep up with the latest research on LLMs—especially model training and optimization.

Responsibilities

• Understand the newest models and algorithms released frequently, with emphasis on post-training.
• Invent in-house improvements and optimizations to enhance state-of-the-art models.
• Post-train LLMs on query answering using the latest supervised and reinforcement learning techniques.
• Work closely with engineering teams to integrate Sonar models into the product.

Requirements

• 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 experience working on relevant projects.

Nice-to-have

• PhD in Machine Learning or related areas.
• Experience with academic publications and demonstrable impact.

Compensation and Benefits

• Cash compensation range: $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 may be part of the total compensation package.
• Benefits include comprehensive health, dental, and vision insurance for you and your dependents, and a 401(k) plan.