Perplexity is seeking top level AI Research Engineers to continue to improve our in house Online LLMs, the Sonar models. Your job is to take advantage of our rich query/answer dataset to continue to scale our Sonar model performance and provide the SOTA Online LLM experience to our users.

Responsibilities

• Post-train SOTA LLMs on query answering by using the latest in supervised and reinforcement learning techniques
• Own the full stack data, training, and eval pipelines required to post-train LLM models
• Deliver Sonar models that provide SOTA query answering
• Work closing with engineering teams to integrate Sonar models into our product

Qualifications

• 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 of working on relevant projects

Nice-to-have

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

The cash compensation range for this role is $190,000 - $260,000.

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.