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Perplexity is seeking top-tier AI Research Scientists and Engineers to advance our AI products and capabilities. We're building the future of AI-powered search and agent experiences through our Sonar models, Deep Research Agent, Comet Agent, and Search products. Join us in creating SOTA experiences that handle hundreds of millions of queries and continue to scale rapidly.

Requirements

• Proven experience with large-scale LLMs and Deep Learning systems
• Strong programming skills in Python/PyTorch; versatility is a plus
• Experience with post-training techniques and reinforcement learning
• Experience in post-training LLMs with SFT/DPO/GRPO
• C++/CUDA programming skills
• Experience building LLM training frameworks
• Experience with agent systems and multi-step reasoning

Responsibilities

• Post-train SOTA LLMs using the latest supervised and reinforcement learning techniques (SFT/DPO/GRPO)
• Leverage our rich query/answer dataset to scale model performance across Sonar, Deep Research, Comet, and Search products
• Stay current with the latest LLM research, especially in model training, optimization, and personalization techniques
• Implement preference optimization and personalization capabilities to enhance user experience
• Invent in-house improvements and optimizations to enhance SOTA models
• Turn research ideas into algorithms and run experiments to launch new models
• Own full-stack data, training, and evaluation pipelines required for model development

Other

• Self-starter with a willingness to take ownership of tasks
• Passion for tackling challenging problems
• Minimum 2-6 years of experience on relevant projects (depending on seniority level)
• Academic publications and research impact
• Background in personalization and preference learning