Sr Manager, Machine Learning Engineering, Firefly Services

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.

• 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.

• 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

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.

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 .

Expected Pay Range: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $178,900 -- $351,225 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience.

Your recruiter can share more about the specific salary range for the job location during the hiring process.

In California, the pay range for this position is $242,600 - $351,225

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.