Sr Manager, Machine Learning Engineering, Firefly Services
AdobeSan JosePosted 1 March 2026
Tech Stack
Job Description
About the team/organization: Adobe Firefly’s GenAI Product Services team builds world-class image and video solutions for enterprise customers and all Adobe Products. We are looking for a senior ML engineering manager to spearhead our growing efforts in building world-class GenAI solutions.In this role, you will lead a high-performing team of ML and service engineers focused on designing, deploying, optimizing and scaling generative models and APIs that power next-generation digital experiences. As a senior leader, you’ll define long-term strategy, shape the technical roadmap, and collaborate across Adobe to accelerate our momentum in the enterprise genAI space. This is a high-impact role at the intersection of ground breaking technology and real-world enterprise value.Job Responsibilities Tech lead projects that delivers critical ML services and APIs to integrate first- and third-party models and pipelines for Enterprise customers Collaborate cross-functionally with PMs, PMMs, TPMs, and other engineering teams to shape the roadmap of Adobe’s Enteprise Gen AI space Act as a technical leader and coach, guiding a team of ML and platform engineers through complex, high-stakes projects. Explore and research new and emerging ML and MLOps technologies to continuously improve Adobe’s GenAI engineering effectiveness and efficiency Review and provide feedback on features, technology, architecture, designs, test strategies, and service reliability standards. Champion innovation by exploring emerging ML and MLOps technologies to boost Adobe’s GenAI effectiveness. What you'll need to succeed MS/PhD in Computer Science, AI/ML, or related fields, or equivalent industry experience. 8+ years of experience in machine learning, including production-scale deployments. 5+ years of engineering leadership experience, with a track record of growing and mentoring high-performing teams. Strong background in generative AI technologies (e.g., GANs, diffusion models, transformers). Proven ability to lead large, cross-functional teams through complex, time-sensitive projects. Excellent communication skills, with a knack for influence and driving alignment in matrix organizations. Preferred experience: Hands-on experience with training, fine-tuning, inference, and optimization of generative models, multi-modality models. Hands-on familiarity with optimizing and converting models across formats #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 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. Adobe aims to make our Careers website and recruiting process accessible to a ... (truncated, view full listing at source)
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