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 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 building distributed systems.

The cash compensation range for this role is $200,000 - $280,000.