Jobs
Benefits & Perks
•Equity
•Equity
Required Skills
Python
Machine Learning
PyTorch
TensorFlow
Generative AI
GPU optimization
Model optimization
Distributed systems
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!
Firefly Enterprise group
is building the next generation of scalable APIs and workflow solutions for Adobe’s enterprise customers.
Firefly Enterprise Video API team is looking for a passionate Machine Learning Engineer to enable and accelerate the Video APIs powered by pioneering machine learning models. In this role, you’ll collaborate closely with ML researchers, product engineers, and infrastructure teams to take ML models from experimentation to full-scale deployment, bringing groundbreaking AI experiences to our users
What You’ll Do
- Lead the design, development, and deployment of GenAI backend services for video, building GPU‑optimized and highly efficient model pipelines.
- Translate research innovations and prototypes into scalable, reliable ML systems across Adobe’s cloud platforms.
- Optimize model and service performance, ensuring scalability, reliability, and robustness through continuous monitoring and iteration.
- Enhance MLOps workflows, including CI/CD, model versioning, evaluation pipelines, and automated retraining systems.
- Collaborate cross‑functionally with product, research, and infrastructure teams to define requirements and deliver high‑impact solutions.
- Stay ahead of the curve, bringing the latest ML advancements into Adobe’s products—from cloud to on‑device optimizations.
- Provide technical leadership and mentorship
What You’ll Need to Succeed
- Master’s or Ph.D. in Computer Science, AI/ML, or related field; or B.Tech with strong, proven ML experience.
- 10 years of experience in AI/ML engineering, model development, or large‑scale distributed systems.
- Strong programming skills in Python and experience with ML frameworks like Py Torch and Tensor Flow.
- Deep expertise in Generative Video AI, including diffusion, GAN, and transformer‑based models—especially in areas such as temporal consistency and multimodal generation.
- Solid understanding of model optimization, inference efficiency, GPU acceleration, and production ML integration.
- Demonstrated success delivering cloud‑scale, data‑driven products with broad customer adoption.
- Strong command of AI/ML fundamentals, frameworks, and modern toolchains.
- Excellent communication, technical leadership, and collaboration skills.
- Experience working in a matrixed organization, driving alignment, and delivering results.
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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