Job Description
Perplexity is looking for an AI Research Engineer to enhance its in-house Online LLMs, the Sonar models. The ideal candidate will leverage Perplexity's extensive query/answer dataset to improve Sonar model performance and deliver a state-of-the-art Online LLM experience.Responsibilities:
- Post-train SOTA LLMs on query answering using supervised and reinforcement learning techniques.
- Own the full-stack data, training, and evaluation pipelines for post-training LLM models.
- Deliver Sonar models that provide SOTA query answering.
- Collaborate with engineering teams to integrate Sonar models into the product.
Qualifications:
- Proven experience with large-scale LLMs and Deep Learning systems.
- Strong programming skills and versatility.
- Self-starter with a willingness to take ownership of tasks.
- Passion for tackling challenging problems.
- Minimum of 2 years of experience working on relevant projects.
Nice-to-have:
- PhD in Machine Learning or related areas.
- Experience in post-training LLMs with SFT/DPO/GRPO.
Perplexity offers:
- Cash compensation range: $190,000 - $260,000.
- Equity may be part of the total compensation package.
- Comprehensive health, dental, and vision insurance.
- 401(k) plan.