Sr Machine Learning Engineering Manager, ML Data Platform Full-time

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The Opportunity

At Adobe Firefly we build foundation generative models for image, video, and other modalities which power the suite of products at Adobe. This work is powered by a platform comprised of data, training, and inference infrastructures.

We are looking for a world-class senior ML engineering manager to lead the data infrastructure development of this platform. You will lead the architecture, design, development, and testing of the infrastructure with the goal of bolstering the efforts on data ingestion, storage, enrichment, and availability. This is a highly cross-functional role where you will closely work with the training platform, inference platform, Adobe Research, Applied Research, and Adobe Stock teams, among others.

Responsibilities

• Lead projects to build scalable next-gen ML data infrastructure systems

• Collaborate cross-functionally with Research and Applied Research teams as well as ML training and deployment teams

• Grow, develop, and scale the team

• Provide technical leadership to team members

Requirements:

• A deep understanding of AI/ML, including ML frameworks, public cloud and commercial AI/ML solutions

• Experience in building and scaling distributed systems, and experience with containerization and orchestration technologies (Kubernetes, EKS)

• Strong communication and collaboration skills – building strong relationships with internal stakeholders and external partners

• A track record of attracting talent and leading high-performance teams to deliver results in a fast-paced and dynamic environment of AI infrastructure

• Experience managing very senior engineers and/or senior managers.

• Strong analytical and problem-solving skills, with the ability to think strategically and make data-driven decisions

• A passion for staying up to date with the state of the art in Generative AI for Computer Vision and cutting-edge technologies in AI/ML

• A master’s or a doctorate degree in Computer Science, Electrical Engineering, or a related field, or equivalent industry experience

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 $160,200 — $322,300 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.

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).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

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

Adobe is proud to be an Equal Employment Opportunity and affirmative action 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 applicable characteristics protected by law. Learn more.

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