Member of Technical Staff (AI Researcher)
Perplexity · San Francisco, CA · 1 wk ago
On-siteEngineering$220k–$485k/yrFull-time
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
- Invent in-house improvements and optimizations to enhance SOTA models
- Turn research ideas into algorithms and run experiments to launch new models
Qualifications
- 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
- 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)
- Nice-to-have: PhD in Machine Learning, AI, Systems, or related areas
- Experience in 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
Pay
Compensation Range: $220K - $485K