Perplexity
Member of Technical Staff (AI Researcher)
San Francisco · Staff+
Sponsorship not specifiedDetected 99 days ago
PythonC++Full-Stack DevelopmentAlgorithmsMachine LearningDeep LearningPyTorchLLMsResearchCollaboration
About the role
- Perplexity is seeking top-tier AI Research Scientists and Engineers to advance our AI products and capabilities.
- Join us in creating SOTA experiences that handle hundreds of millions of queries and continue to scale rapidly.
- Team Structure Depending on your interests and expertise, you'll work on one of three specialized teams: 1.
Responsibilities
- Implement preference optimization and personalization capabilities to enhance user experience
- Build robust and effective training frameworks (on top of Megatron/PyTorch) for post-training LLMs
- Implement necessary infrastructure and components to support cutting-edge model training at scale
- Collaborate across teams to ensure cohesive AI experiences throughout our platform
- Partner with product teams to understand user needs and translate them into model improvements
Requirements
- Minimum 2-6 years of experience on relevant projects (depending on seniority level)
- Own full-stack data, training, and evaluation pipelines required for model development
- 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
- PhD in Machine Learning, AI, Systems, or related areas
- Experience building LLM training frameworks
- Background in personalization and preference learning
Nice to have
- Experience in post-training LLMs with SFT/DPO/GRPO
- C++/CUDA programming skills
- Academic publications and research impact
- Experience with agent systems and multi-step reasoning
- Strong programming skills in Python/PyTorch
- versatility is a plus
Benefits
- Post-train SOTA LLMs using the latest supervised and reinforcement learning techniques (SFT/DPO/GRPO)
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This listing is sourced directly from Perplexity's careers page and normalized into a canonical job model.