Principal Scientist

Adobe Adobe · Enterprise · Austria · Remote

Principal Scientist to architect and build an end-to-end intelligent system for enterprise clients, converting complex signals into actionable intelligence. The role involves developing agentic recommendation pipelines, shipping scientific frameworks from research to production, defining measurement and quality standards, and amplifying human domain experts. Requires 10+ years of systems thinking experience, research-to-production credibility, and familiarity with ML-powered content optimization or information retrieval.

What you'd actually do

  1. Architect intelligent systems end-to-end: from data ingestion and signal modeling to agentic recommendation pipelines that surface the right insight to the right expert at the right time
  2. Turn research into production: develop and ship scientific frameworks that move from hypothesis to enterprise-grade system, with rigor and speed in equal measure
  3. Define what "value" means: set the measurement methodology, quality standards, and feedback loops that ensure our insights are reliable and our impact clear to customers.
  4. Be a force multiplier for experts: develop systems that amplify what human domain experts can do, not replace them.
  5. Mentor and elevate: raise the ceiling for the engineers around you through direct mentorship

Skills

Required

  • 10+ years of experience in systems thinking at scale
  • track record of crafting and shipping systems that process large, heterogeneous datasets and produce reliable, interpretable outputs
  • Research-to-production credibility
  • Familiarity with content optimization, information retrieval, or brand intelligence domains powered by machine learning
  • Communication as a leadership skill
  • Comfort with ambiguity, starting things from scratch

Nice to have

  • AI/ML expertise

What the JD emphasized

  • systems thinking at scale
  • track record of crafting and shipping systems that process large, heterogeneous datasets and produce reliable, interpretable outputs
  • transitioned innovative methods from paper (or whiteboard) to production
  • starting things from scratch

Other signals

  • architect intelligent systems end-to-end
  • develop and ship scientific frameworks
  • define measurement methodology, quality standards, and feedback loops
  • develop systems that amplify what human domain experts can do
  • 10+ years of experience in systems thinking at scale
  • track record of crafting and shipping systems that process large, heterogeneous datasets and produce reliable, interpretable outputs
  • transitioned innovative methods from paper (or whiteboard) to production
  • familiarity with content optimization, information retrieval, or brand intelligence domains powered by machine learning