About the Role
We are seeking an Applied Scientist (Level 5.5) to lead the development of next-generation generative AI capabilities for Adobe Creative Cloud, with a focus on graphics and vector-based design workflows.
In this role, you will operate at the intersection of machine learning, computer graphics, and systems engineering to transform cutting-edge research into scalable, production-ready solutions. You will drive high-impact initiatives from early exploration to productization, shaping both technical direction and user experience.
This position offers the opportunity to work on complex, open-ended problems and deliver innovations that directly impact millions of creative users worldwide.
What You’ll Do
- Lead the design and implementation of advanced generative AI solutions for vector graphics, image processing, and creative workflows.
- Translate ambiguous research ideas into well-defined technical approaches and product opportunities.
- Architect and develop end-to-end systems spanning model training, optimization, and deployment in production environments.
- Build and optimize machine learning models using frameworks such as Py Torch or Tensor Flow, ensuring high quality, efficiency, and scalability.
- Drive performance improvements for real-time and interactive applications, including latency, memory, and compute optimization.
- Collaborate closely with product, design, and engineering teams to deliver impactful, user-facing features.
- Define evaluation frameworks and metrics to measure model quality, system performance, and user experience.
- Mentor and guide other scientists and engineers, contributing to a culture of technical excellence and innovation.
- Stay current with advancements in generative AI, computer graphics, and human-computer interaction, and apply them to solve real-world problems.
What You’ll Need
- Master’s or PhD in Computer Science, Machine Learning, Computer Graphics, or a related field.
- Strong foundation in mathematics, including linear algebra, geometry, optimization, and numerical methods.
- Proven experience in machine learning, particularly in generative models, image processing, or graphics-related domains.
- Strong programming skills in Python and/or C++, with experience building production-quality systems.
- Experience with ML frameworks such as Py Torch or Tensor Flow, including model development, evaluation, and deployment.
- Demonstrated ability to optimize algorithms and systems for performance, especially in real-time or interactive environments.
- Experience shipping features or systems into production at scale.
- Strong problem-solving skills and the ability to work effectively in ambiguous, fast-paced environments.
Nice to Have
- Experience with generative AI techniques such as diffusion models, transformers, or multimodal systems.
- Background in computer graphics, computational geometry, or 3D modeling.
- Publications in top-tier conferences such as SIGGRAPH, CVPR, or NeurIPS.
- Experience working on creative tools or user-facing design applications.
Why Adobe
Adobe is passionate about empowering people to create and communicate through digital experiences. From individuals to global enterprises, we build tools that enable creativity at scale. We are committed to creating an inclusive environment where everyone is respected, supported, and has the opportunity to make an impact.
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and Gen Studio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Adobe together:
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
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 protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process 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 accommodations@adobe.com or call +1 408-536-3015.
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. 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.
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Adobeについて

Adobe
PublicAdobe Inc., formerly Adobe Systems Incorporated, is an American multinational computer software company based in San Jose, California.
10,001+
従業員数
San Jose
本社所在地
$126B
企業価値
レビュー
10件のレビュー
4.4
10件のレビュー
ワークライフバランス
3.2
報酬
3.8
企業文化
4.6
キャリア
3.4
経営陣
4.1
78%
知人への推奨率
良い点
Great company culture and team environment
Innovative projects and creative freedom
Good benefits and compensation
改善点
High pressure and stress from expectations
Work-life balance challenges
Fast-paced and overwhelming environment
給与レンジ
751件のデータ
Junior/L3
L2
L6
Mid/L4
Senior/L5
Staff/L6
L3
L4
L5
Junior/L3 · Data Scientist L2
0件のレポート
$175,386
年収総額
基本給
-
ストック
-
ボーナス
-
$149,078
$201,694
面接レビュー
レビュー3件
難易度
3.0
/ 5
面接プロセス
1
Application Review
2
Online Assessment
3
Technical Interview
4
Behavioral Interview
5
Final Decision
よくある質問
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
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