Principal Applied Scientist

What you'll do

• Apply foundation models, reasoning systems, and multi-agent architectures to solve complex operational problems.
• Translate ambiguous business problems into rigorous technical approaches and experiments.
• Rapidly prototype and iterate on AI solutions using AI-first development and coding tools.
• Design robust evaluation methodologies and benchmarks that connect model performance to operational outcomes.
• Build scalable data and learning loops using real-world signals to continuously improve AI systems.
• Translate research into production-ready capabilities by partnering with engineering teams on deployment and reliability.
• Develop reusable AI methods and frameworks to accelerate multiple transformation scenarios.
• Incorporate Responsible AI, privacy, security, and scientific rigor throughout the experimentation and deployment process.

What we're looking for

• Bachelor's Degree in a relevant field and 6+ years of related experience, or Master's with 4+ years, or Doctorate with 3+ years.
• Equivalent experience to the education and years of experience requirements.
• Master's Degree in a relevant field and 9+ years of related experience, or Doctorate with 6+ years of related experience (preferred).
• 5+ years of experience creating publications such as patents, libraries, or peer-reviewed academic papers (preferred).
• 2+ years of experience as an invited speaker at conferences or other outside research/industry events (preferred).
• 5+ years of experience conducting research as part of a research program in academic or industry settings (preferred).
• 3+ years of experience developing and deploying live production systems as part of a product team (preferred).
• 3+ years of experience developing and deploying products or systems from ideation to shipping (preferred).