ML Services Software Development Engineer
The Opportunity
The Firefly GenAI Romania Services engineering team is looking for a ML Services Software Development Engineer to create unique experiences for Creative Cloud clients.
Our goal is to seamlessly enable users to transform Creative Intent into Creative Success, through GenAI features, in our revolutionary Firefly and Express applications!
https://www.adobe.com/express/
Our team owns the model customization and inference layer behind Firefly - from training and fine-tuning custom generative models to serving them at scale in production. You'll work at the intersection of ML infrastructure and distributed systems, on problems like GPU cost/throughput optimization, resilient large-scale inference serving, and enterprise-grade customization (e.g., brand-consistent generation for our largest customers).
What you'll Do
Architect and implement performant, robust and scalable GenAI services that support different deep learning models (training and inference) in large-scale, distributed environments
Lead inference and training platform projects end-to-end - from scoping requirements to launch and ongoing production support
Identify and resolve usability, extensibility, and scalability issues specific to the ML services platform
Collaborate with machine learning researchers to translate model requirements into infrastructure decisions, improving GPU utilization and cost-efficiency across training and inference workloads
Monitor ML platform performance and continuously tune infrastructure to fit fluid cloud resource needs, balancing peak-load reliability against average-load cost
Design APIs and services that handle diverse, real-world input formats robustly (e.g., broad image format support) without pushing unnecessary conversion burden onto clients
Work closely with teams across Adobe, across geographies, including cross-org partners building enterprise-focused generation capabilities. The technology you produce has visibility at the highest levels of the company and materially affects the positive impact our products have on customers
What you need to succeed
B.S., M.S., or Ph.D. in Computer Science, Computer Engineering, or a related field
Expert in Python and distributed systems
Solid understanding of deep learning fundamentals - model architectures, training vs. inference lifecycle, and common tradeoffs (latency, throughput, batching, precision)
Working familiarity with ML frameworks (e.g., PyTorch) and model serving concepts, sufficient to collaborate effectively with ML researchers on infrastructure requirements
Understanding of GPU computing as applied to ML workloads (memory management, batching strategies, mixed precision) and how it drives cost/throughput decisions
Proficiency in Linux, Docker, Kubernetes
Experience working with AWS or similar cloud infrastructure
Experience working with large and complex codebases, employing API design techniques to maintain clean, maintainable code
Nice to Have
Web application development experience
Experience with CI/CD systems
Experience with Agile development processes including Scrum
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 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.
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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.