AI Training Infrastructure Engineer - Post Training

Perplexity is seeking experienced AI Research Engineers and Scientists to continue to improve our in house Online LLMs, the Sonar models. Your job is to work with team and create a robust and effective training framework (on top of Megatron/PyTorch), especially for post training LLMs.

Responsibilities

• Build a post training framework that can run cutting-edge model training jobs in scale
• Implement the necessary infra and components to support latest models and algorithms like SFT, RL (DPO/GRPO) and more
• Own the full stack data, training, and eval pipelines required to post-train LLM models
• Work closing with engineering teams to integrate Sonar models into our product.

Qualifications

• Proven experience with large-scale LLMs frameworks building
• Strong in Python/Pytorch; C++/CUDA 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.

Bonus

• PhD in AI/ML/Systems or related areas
• Experience building LLM training frameworks, especially post training

The cash compensation range for this role is $220,000 - $290,000.

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 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.