Senior Machine Learning Engineer, Inference
AdobeSan Jose$212k – $307kPosted 8 April 2026
Job Description
Firefly is the new family of creative generative AI models coming to Adobe products that offers a new way to ideate, create, and scale content. It’s a natural extension of the technology Adobe has produced over the past 40 years.
At the core of Firefly are our commercially safe generative AI models trained on hundreds of millions of assets owned or licensed by Adobe. We are hiring for a highly strategic and visible role to help evolve these models and the associated prompt engine. This is an opportunity to reach millions of creatives, helping them reinvent the way they work.
What you'll do
Design and lead the technical development of the Firefly service and its components
Optimize services to address high performance, latency, and load requirements
Understand the service requirements and technical constraints of various platforms and come up with solutions to simplify the software stack
Develop efficient, reliable, testable services code in a variety of stacks (Python, Go)
Work closely with engineers on the team to guide the development process from
requirements and design through development, integration, testing, and deployment
Work with other Adobe teams advising on using our technology, investigating bugs, and collaborating on providing new features
Regularly review and tune test code to achieve a high standard of software quality, code coverage, and performance metrics
Respond to urgent production issues requiring fast resolution and deployment of code fixes/updates
Participate in inventing technology that has an enormous impact across Adobe, writing patents, and being an active internal community of software development professionals
What you need to succeed
Bachelor of Science, or higher degree, in Computer Science, Engineering, Mathematics or equivalent
10 years of experience with server-side/backend service development
Proficiency with Python
Be able to take ownership of complex projects and provide end-to-end engineering solutions: from architecture design to implementation and production support
Must be well versed with distributed computing principles, proven experience building reliable high performance cloud platforms and services.
In-depth knowledge of containerization and modern deployment strategies (k8s)
Proficient in services frameworks, deployment, and monitoring tools
Firm computer science fundamentals, including design patterns, algorithms, asymptotic complexity, parallelism, and database schema design
Works well in a small, collaborative, highly productive team environment across multiple geographies
Excellent verbal and written communication skills
Bonus qualifications
Experience with GPU-based ML inference services
#FireflyGenAI
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 GenStudio 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 ... (truncated, view full listing at source)
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