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 include post-training SOTA LLMs on query answering by using the latest in supervised and reinforcement learning techniques, owning the full stack data, training, and eval pipelines required to post-train LLM models, delivering Sonar models that provide SOTA query answering, and working closely with engineering teams to integrate Sonar models into our product. Qualifications include proven experience with large-scale LLMs and Deep Learning systems, strong programming skills, being a self-starter with a willingness to take ownership of tasks, passion for tackling challenging problems, and a minimum of 2 years of working on relevant projects. Nice-to-have qualifications include a PhD in Machine Learning or related areas and experience in post-training LLMs with SFT/DPO/GRPO. The company has experienced tremendous growth and adoption since launching the world's first fully functional conversational answer engine in 2022, with significant funding from respected technology investors and a rapidly growing employee base. Benefits include comprehensive health, dental, and vision insurance, a 401(k) plan, and potential equity as part of the total compensation package.
