Jobs
Benefits & Perks
•Remote work flexibility
•Flexible PTO policy
•Health, dental, and vision coverage
•Top Tier compensation with equity
Required Skills
Python
Apache Spark
TensorFlow
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!
Position Summary
The Generative AI Bucharest engineering team is seeking a Machine Learning Engineer to help drive the development of innovative ML-first features within Adobe Creative Cloud applications. In this role, you will work on critical projects, contributing to the design, implementation, and optimization of production-grade machine learning solutions. You will collaborate closely with multi-functional teams on model creation, hosting, delivery infrastructure, and responsible dataset creation. This position offers high visibility and impact, with opportunities to collaborate with Adobe’s global Generative AI teams.
What you'll do
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Transform requirements into architectural and feature specs
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Drive one or more features
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Develop high-performance, reliable, testable and maintainable code
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Identify internal/outside technologies and when/how to use them
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Grow with the support of your team, and help others on the team grow by providing thoughtful feedback and uplifting those around you
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Work well both independently and collaboratively within a fast-paced development team
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Demonstrate features, propose and review technical solutions
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Collaborate with multi-functional teams to integrate AI/ML components into existing software systems and ensure seamless functionality and performance
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Mentor and provide technical guidance to other engineers, review code, and ensure alignment to guidelines in software development and AI/ML engineering
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Monitor and optimize the performance of AI/ML systems, identify bottlenecks, and propose solutions for scalability and efficiency improvements
What you need to succeed
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BS or MS in Computer Science or a related field, or equivalent experience. PhD is a big plus.
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7+ years of experience on the ML field with consistent results
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Strong skills and development experience with Python, Typescript or C++
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Strong knowledge of design patterns, data structures and algorithms
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Strong understanding of machine learning algorithms, statistical modeling, and analytics techniques, with practical experience in developing and deploying ML models
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Strong analytical and problem-solving skills, with the ability to think strategically and make data-driven decisions
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Experience working with OpenAI APIs and other model APIs (e.g., Hugging Face, Cohere) is a plus
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Good knowledge of machine learning frameworks (Py Torch, Tensor Flow or Jax) is a plus
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Knowing the sweet spot between "getting it done" and building a sustainable product
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Proficiency in English, both writing and speaking
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 accommodations@adobe.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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