Member of Technical Staff (AI Researcher)

Stack

Responsibilities

• ▹Post-train SOTA LLMs using the latest supervised and reinforcement learning techniques (SFT/DPO/GRPO)
• ▹Leverage the rich query/answer dataset to scale model performance across Sonar, Deep Research, Comet, and Search
• ▹Implement preference optimization and personalization capabilities
• ▹Turn research ideas into algorithms and run experiments to launch new models
• ▹Own full-stack data, training, and evaluation pipelines
• ▹Build robust training frameworks on top of Megatron/PyTorch
• ▹Integrate models seamlessly into the product ecosystem
• ▹Collaborate closely with engineering and product teams

Requirements

• ▹Proven experience with large-scale LLMs and deep learning systems
• ▹Strong programming skills in Python/PyTorch
• ▹Experience with post-training techniques and reinforcement learning
• ▹Self-starter with a strong sense of ownership
• ▹2-6 years of relevant experience (depending on seniority level)

Nice to have

• ▹PhD in Machine Learning, AI, Systems, or related areas
• ▹Experience post-training LLMs with SFT/DPO/GRPO
• ▹C++/CUDA programming skills
• ▹Experience building LLM training frameworks
• ▹Academic publications and research impact
• ▹Experience with agent systems and multi-step reasoning
• ▹Background in personalization and preference learning

Soft skills

About the company

Perplexity is building the future of AI-powered search and agent experiences through its Sonar models, Deep Research Agent, Comet Agent, and Search products.