AI Research Engineer - Post Training

Details

Perplexity is an AI-powered answer engine founded in December 2022. The company builds accurate, trustworthy AI to power decision-making and assistive AI. Perplexity serves hundreds of millions of queries per month and is rapidly growing.

Role overview

Perplexity is seeking AI Research Engineers to improve in-house online LLMs (the Sonar models). The role focuses on using a rich query/answer dataset to scale Sonar model performance and deliver a state-of-the-art online LLM experience.

Responsibilities

• Post-train SOTA LLMs on query answering using the latest supervised and reinforcement learning techniques.
• Own the full stack data, training, and evaluation pipelines required to post-train LLM models.
• Deliver Sonar models that provide state-of-the-art query answering.
• Work closely with engineering teams to integrate Sonar models into the product.

Requirements

• 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 working on relevant projects.

Nice-to-have

• PhD in Machine Learning or related areas.
• Experience in post-training LLMs with SFT / DPO / GRPO.

Compensation & Benefits

• Cash compensation range: $190,000 - $260,000 per year.
• Final offer amounts are determined by 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.