Senior Applied Researcher

Adobe is looking for a Senior Applied Researcher to use Generative AI and Machine Learning techniques to help Adobe better understand, lead, and optimize the experience of Adobe’s Digital Experience customers. Partnering with Adobe Research and other business units, the candidate will be building products that transform the way companies approach audience creation, journey optimization, and personalization at scale. You will join a diverse, lively group of engineers and scientists long established in the ML space. The work is dynamic, fast-paced, creative, collaborative and data-driven. NOTE THIS ROLE IS IN THE SAN JOSE OFFICE YOU MUST BE IN SJ OR WILLING TO RELOCATE FOR THIS POSITION. Responsibilities include partnering with Adobe Research to develop cutting edge models; designing and building 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; engaging in the product lifecycle, design, deployment, and production operations; providing technical leadership in everything from architectural design and technology choices to holistic evaluation of ML models. Requirements include PhD or MS degree in Computer Science, Data Science or related field; 10+ years of applied research experience in software industry/academic research with 5+ years of experience developing, evaluating ML models, and deploying models into production; deep understanding of statistical modeling, machine learning, or analytics concepts; proficiency in programming languages such as Python, Scala, Java, SQL; familiarity with cloud development on Azure/AWS; fluency in at least one deep learning framework such as TensorFlow or PyTorch; experience with LLMs and prompt-engineering; recognized as a technical leader; experience working with both research and product teams; excellent problem-solving, analytic, communication and relationship building skills.