Member Of Technical Staff (AI Researcher)
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.
What this role actually needs.
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. 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 Requirements: - 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 Benefits: - 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 Company context: Perplexity is an answer engine — an AI-native search product used by millions of professionals daily.
Day-to-day expectations
Perplexity lists these responsibilities for the Member Of Technical Staff (AI Researcher) role.
- 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
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- 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
Why people would want this job
Perplexity published these compensation, benefits, or working-context details with the role.
- 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
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Source: jobs.ashbyhq.com · Source ID: 8fe61c73-0daf-4432-a47d-44714c1ef764 · Confidence: 94/100 · Last checked: May 7, 2026
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