Jobs
Benefits & Perks
•Equity
•Equity
Required Skills
Natural Language Processing
Machine Learning
Research
Data Analysis
Python
Our Company
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
Our Company
At Adobe, you will be immersed in an outstanding work environment that is recognized around the world. Adobe has been consistently listed as Fortune’s “100 Best Companies to Work For” for 20 consecutive years. You will also be surrounded by colleagues who are dedicated to supporting each other's growth. If you’re looking to make a difference, Adobe's the place for you. Learn more about our employees' career experiences on the Adobe Life blog and explore the valuable benefits we provide.
Changing the world through digital experiences is what Adobe’s all about. We give global brands everything they need to craft and deliver outstanding digital experiences. We’re passionate about redefining how companies connect with customers across every screen.
Our goal is to recruit top talent and provide excellent employee experiences that prioritize respect and equal opportunity. We acknowledge that valuable insights can originate from any team member, including yourself.
Adobe is seeking a highly motivated and versatile Research Scientist to join our Media and Data Science Research (MDSR) Laboratory (https://adobe.mdsr.live/) in the Digital Experience (DX) business unit. This role provides an outstanding opportunity to engage in world-class research that will craft the future of digital experiences. As a part of our ambitious team, you will work on innovative research problems and implement solutions to revolutionize how businesses operate. As part of the research team, you will get an opportunity to turn your research ideas into successful products and at the same time, disseminate them at top conferences and journals.
Responsibilities:
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Develop and lead research initiatives in areas such as Natural Language Processing, Computational Social Science, and Machine Learning.
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Collaborate with product teams to turn research advances into impactful products.
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Design challenging evaluations related to creative intelligence and marketing performance.
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Develop scalable synthetic data generation and evaluation techniques.
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Manipulate and analyze complex, high-volume, high-dimensionality data from diverse sources.
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Train models and run experiments to study data and model quality.
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Iteratively refine research experiments and clearly communicate insights to the team.
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Integrate core machine learning models into the Adobe Experience Manager and Adobe Experience Platform.
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Collaborate with product, design, and engineering teams to rapidly prototype and transition conceptual prototypes from research to production.
Requirements:
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(PhD degree and 3 years of experience) or (six years of experience) in industrial research in Computer Science, Statistics, Economics, or other relevant technical fields.
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Hands-on experience and a track record of deploying solutions in production environments.
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Multiple publications in top-tier conferences such as ICLR, NeurIPS, ICML, PNAS, Nature, Science, ACL, EMNLP, CHI, WWW, KDD, CVPR, etc.
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Proven expertise in one or more of the following areas: Large Language Models, Natural Language Processing, Computational Social Science, Behavioral Sciences, Agentic Workflows, Social Network Analysis, Causal Inference, Recommendation Systems, Multimodal Content Understanding.
You Will Thrive In This Role If You:
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Experience in deriving concrete conclusions and actionable insights from large datasets.
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Ability to take research risks and solve hard problems independently.
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Are a great teammate who is willing to take on a variety of tasks to contribute to the success of the team
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Have a proven track record and an impulse for empirical research, answering complex questions with data.
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Are capable of leading ambitious projects and possess clear communication skills.
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Have familiarity with crafting quality research experiments and evaluations with rapid iterations.
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Have experience working in complex technical environments, improving research velocity.
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Possess a flexible analytic approach that allows for results at varying levels of precision.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodationsadobe.com or call (408) 536-3015.
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About Adobe

Adobe
PublicA software company that provides its users with digital marketing and media solutions.
10,001+
Employees
San Jose
Headquarters
$126B
Valuation
Reviews
3.3
9 reviews
Work Life Balance
3.5
Compensation
3.8
Culture
3.2
Career
3.4
Management
2.8
58%
Recommend to a Friend
Pros
Good people and culture
Strong leadership and management support
Good employee benefits and perks
Cons
Inconsistent management quality
Poor treatment of contractors
Toxic leadership at director level
Salary Ranges
4,150 data points
Junior/L3
L2
L3
L4
L5
L6
Mid/L4
Senior/L5
Staff/L6
Junior/L3 · Data Scientist L2
0 reports
$175,386
total / year
Base
-
Stock
-
Bonus
-
$149,078
$201,695
Interview Experience
3 interviews
Difficulty
3.0
/ 5
Interview Process
1
Online Assessment
2
Technical Interview
3
Team Matching
Common Questions
Technical/Coding Questions
Online Assessment
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