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Applied AI Researcher, System Discovery

Distyl AI

Salary not specified
Oct 16, 2025
San Francisco, CA, USA • New York, NY, USA
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Distyl AI is looking to redefine how software is used by developing AI-native systems that solve complex, high-stakes challenges at scale for Global Fortune 1000 companies, enabling humans and AI to collaborate effectively.

Requirements

  • Experience Building a Wide Breadth of Systems: You’ve built across many paradigms—retrieval pipelines, reasoning agents, evaluation harnesses, multimodal integrations, or workflow graph systems—and can abstract what makes each effective.
  • Experience Building with Models, Not Just Building Models: We develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.).
  • Proven Track Record of Research Results: Whether you’ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done.
  • Uses AI Every Day: Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow.
  • Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI.
  • Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.

Responsibilities

  • Analogous to hypothesis generation in the space of AI for scientific discovery, the System Discovery team focuses on identifying entirely new classes of AI systems.
  • Researchers explore a wide range of architectures, modalities, and compositions to uncover how AI can most effectively reshape work.
  • Draw connections across disparate domains to uncover new system archetypes.
  • Experiment with unconventional problem definitions and develop prototypes that reveal new categories of human–AI collaboration.

Other

  • This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used.
  • Our researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org.
  • Distyl is a hybrid working environment and requires in office collaboration 3 days a week.
  • An opportunity to advance the cutting edge of LLM research and directly revolutionize work in the enterprise space.
  • Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions.