mid Machine Learning Engineer ic Master's · Posted Mar 16, 2026
$125,600 – $234,150
USD per year

About this role

Adobe is hiring a mid-level Machine Learning Engineer based in Seattle, WA. The posting calls out experience with Python, Java, Scala, R. Listed education preference: a master's degree or equivalent. Compensation is listed at $125,600–$234,150 per year.

Role
Machine Learning Engineer
Function
machine learning
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Seattle, WA
Education
Master's degree
Department
Engineering and Product
Posted
Mar 16, 2026
AI Summary
Design and develop scalable generative AI inference pipelines and APIs integrating Adobe's first-party and third-party models into products like Firefly and Photoshop. Optimize GPU-accelerated ML workflows for enterprise-scale deployment. Requires MS/PhD in Computer Science, Statistics, or related field with deep expertise in machine learning, statistical modeling, and large-scale data systems.

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Job description

from Adobe careers

Adobe Firefly’s Generative AI Services team is seeking a Machine Learning Engineer for our GenAI Services area. In this high-impact role, you will work with a team of talented engineers in building scalable, high-performance generative AI systems—powering features across Adobe products like Firefly, Photoshop, Illustrator, Express, Stock, and Premiere. You will design and develop efficient inference pipelines, optimize models for latency and through at inference, and build APIs and ecosystems that integrate both Adobe’s first-party and third-party generative models into Adobe suite of products that serve individual and enterprise customers. You will tackle Adobe’s most complex engineering challenges at the forefront of the industry and help set technical direction while collaborating with other ML engineers.

By using statistical and econometric methods, predictive models, experimental design methods, and optimization techniques, the candidate will be working on the research and development of exciting projects like attribution, media mix modeling, budget optimization, personalization, causal analysis, time series analysis.

Ideal candidates will have a strong academic background as well as technical skills including applied statistics, machine learning, data mining, and software development. Familiarity with working with large-scale datasets and big data techniques would be a plus.

What You’ll Do

  • Core GenAI Services Development: Design and develop APIs and services that integrate a wide range of generative models into Adobe's flagship products, ensuring seamless user experiences.
  • This is an excerpt. Read the full job description on Adobe careers →
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