Machine Learning Engineer 3 ( Firefly )
Adobe · Noida ·
- Category
- ML ai
- Experience
- 4+ years
- Company size
- 1000+
Adobe · Noida ·
Build and optimize scalable generative AI inference pipelines and APIs for Adobe Firefly, integrating models into Photoshop, Illustrator, and other products while focusing on latency and performance.
Adobe Firefly’s Generative AI Services team is seeking Senior Machine Learning Engineers 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 the industry, set technical direction, and mentor other ML engineers.
Job Responsibilities
Design and evelopment of core GenAI services and APIs that integrate a wide range of generative models into Adobe’s flagship products.
Design and build ML workflows for enterprise-scale model customization, serving, and ecosystem integration.
Collaborate with Adobe Research and other model developer teams with a focus on model inference strategies and productization of those model
Build and optimize GPU-accelerated pipelines for both (customized) model training and inference—prioritizing performance, scalability, and reliability.
Foster a culture of innovation, technical excellence, and continuous improvement across the organization.
What You’ll Need to Succeed
6+ years of experience in machine learning, including production-scale deployments.
4+ years of experience leading large-scale, GPU-intensive GenAI systems (training, inference, and optimization).
Experience with GenAI frameworks and tools such as PyTorch, CUDA, Triton, TensorRT, Nvidia Dynamo, and Python.
Good understanding of generative model architectures, including diffusion models, transformers, and GANs.
Preferred Qualifications
Experience with model serving, inference, orchestration, and GPU resource management in large-scale environments.
Hands-on expertise in Kubernetes, distributed systems, and MLOps platforms
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.