Senior Applied Researcher

The Opportunity

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.

What you'll do

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

The ideal candidate will have the following background

• PhD or MS degree in Computer Science, Data Science or related field required.
• 10 + years of applied research experience in software industry /academic research with 5+ years of shown experience developing, evaluating ML models, and deploying models into production.
• Deep understanding of statistical modeling, machine learning, or analytics concepts, and a track record of solving problems with these methods; ability to quickly learn new skills and work in a fast-pace d team.
• Proficient in one or more programming languages such as Python, Scala, Java, SQL. Familiarity with c loud development on Azure/AWS.
• Fluent in at least one deep learning framework such as TensorFlow or PyTorch.
• Experience with LLM s 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.

AI Use Guidelines for Interviews

Our interviews are designed to reflect your own skills and thinking. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $190,200 - $345,650 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $238,700 - $345,650

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.