Sr. Machine Learning Engineering Manager

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!

Lead a team of engineers at Adobe to optimize the customer experience in Adobe's Digital Experience division. Collaborate with Adobe Research and other business units to develop AI/ML-powered products that redefine audience creation, journey optimization, and personalization at scale.

• Lead and mentor a team of machine learning engineers in developing AI/ML models and applications.
• Collaborate with Adobe Research, product, and engineering teams to define and complete ML strategies.
• Coordinate the design, development, and deployment of ML-powered applications, ensuring standard methodologies in ML-Ops, cloud deployment, and system integration.
• Define technical roadmaps, set priorities, and guide the team in delivering high-impact ML solutions.
• Establish and drive standards for model quality, data governance, and performance optimization.
• Engage in the full product lifecycle-architecture, design, deployment, and production operations.
• Foster a culture of innovation, experimentation, and continuous learning within the team.

The ideal candidate will have the following background:

• MS or PhD in Computer Science, Data Science, or a related field.
• 7+ years of experience in applied AI/ML, including model development, evaluation, and deployment.
• 2+ years of experience in leading or managing teams of ML engineers.
• Strong understanding of statistical modeling, machine learning, and deep learning concepts.
• Experience in developing and growing products powered by machine learning and managing large-scale data pipelines.
• Proficiency in Python, Scala, Java, SQL, and ML frameworks like TensorFlow, PyTorch, or SparkML.
• Ability to translate business problems into AI/ML solutions and drive alignment across teams.
• Excellent communication, collaborator management, and leadership skills.
• Experience working with both research and product teams to bring ML innovations to production.

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.

State-Specific Notices:

California:

Fair Chance Ordinances

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

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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