Senior Applied Researcher

Adobe Adobe · Enterprise · San Jose, CA

Senior Applied Researcher at Adobe to leverage Generative AI and Machine Learning for customer experience optimization, focusing on audience creation, journey optimization, and personalization. The role involves developing cutting-edge models, building generative AI-powered applications, and providing technical leadership in design, deployment, and operations. Requires a PhD/MS with 10+ years of applied research experience, including deploying models into production, and expertise in LLMs and prompt engineering.

What you'd actually do

  1. Partner with Adobe Research to develop cutting edge models!
  2. Design and build applications powered by generative AI, including working on traditional engineering problems such as defining APIs, integrating with UIs, deploying Cloud services, CICD, etc., as well as implementing ML- and LLM-Ops best practices.
  3. Engage in the product lifecycle, design, deployment, and production operations.
  4. Provide technical leadership in everything from architectural design and technology choices to holistic evaluation of ML models.

Skills

Required

  • PhD or MS degree in Computer Science, Data Science or related field
  • 10+ years of applied research experience in software industry/academic research
  • 5+ years of shown experience developing, evaluating ML models, and deploying models into production
  • Deep understanding of statistical modeling, machine learning, or analytics concepts
  • track record of solving problems with these methods
  • ability to quickly learn new skills and work in a fast-paced team
  • Proficient in one or more programming languages such as Python, Scala, Java, SQL
  • Familiarity with cloud development on Azure/AWS
  • Fluent in at least one deep learning framework such as TensorFlow or PyTorch
  • Experience with LLMs and emerging area of prompt-engineering
  • Recognized as a technical leader in related domain
  • Experience working with both research and product teams
  • Excellent problem-solving and analytic skills
  • Excellent communication and relationship building skills

Nice to have

  • ML-Ops best practices
  • LLM-Ops best practices
  • CICD

What the JD emphasized

  • 10+ years of applied research experience
  • 5+ years of shown experience developing, evaluating ML models, and deploying models into production
  • Recognized as a technical leader in related domain

Other signals

  • Generative AI
  • Machine Learning
  • LLMs
  • prompt-engineering
  • deploying Cloud services
  • ML- and LLM-Ops