Job Description
JOB LEVEL
P30 ADDITIONAL JOB LEVELS
M40 -
P20 EMPLOYEE ROLE
Individual Contributor 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 Research 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 technology choices to holistic evaluation of ML models.
What you need to succeed
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 demonstrated 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-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, analytic skills, communication, and relationship-building skills.
Our compensation reflects the cost of labor across several U.S. geographic markets, with a pay range of $120,700 -- $228,600 annually. Pay varies by work location and may depend on knowledge, skills, and experience. Your recruiter can share specific salary details during hiring.
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California :
Adobe considers qualified applicants with arrest or conviction records in accordance with laws and ordinances.
Colorado:
Application Window Notice
Applications are accepted on an ongoing basis; the posting remains open based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.
Internal Opportunities
We celebrate creativity, curiosity, and learning. To pursue a new opportunity at Adobe:
Update your Resume/CV and Workday profile — include your Adobe experiences and volunteer work.
Visit the Internal Mobility page on Inside Adobe for more info and to set job alerts.
Check out tips to prepare for interviews.
If applying outside your current country, review the International Resources for Relocating Employees .
After applying via Workday, the Talent Team will contact you within 2 weeks. Keep your manager informed if you proceed to interviews.
Adobe offers an exceptional work environment and ongoing feedback through our Check-In approach. Discover employee experiences on the Adobe Life blog and explore our benefits.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race, ethnicity, age, disability, religion, sexual orientation, gender identity, veteran status, or other protected characteristics.
If you require accommodations, email accommodations@adobe.com or call (408) 536-3015.
#J-18808-Ljbffr Adobe Systems GmbH
Job Tags
Relocation,