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Senior Machine Learning Engineer

Adobe Inc.
United States, California, San Jose
345 Park Avenue (Show on map)
Jul 14, 2025

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!

Adobe is seeking a Senior Machine Learning Engineer to contribute to the development of advanced machine learning models and platforms for personalized and creative customer experiences. As a senior member of the AEP AI team, you will lead the design and deployment of ML solutions and build products that drive business outcomes and empower users through intelligent, AI-powered tools.

This role involves working on complex, large-scale projects at the intersection of machine learning, creativity, and user experience-building products with AI, including GenAI, at the core to enhance creativity and boost productivity for our customers and their customers as well.
You will collaborate closely with Adobe Research and multiple product teams, helping shape products where AI is not an add-on, but a central enabler of value. The AEP AI team is composed of engineers and scientists working in a fast-paced, data-driven environment focused on delivering impactful ML-powered solutions across Adobe's Digital Experience offerings.
What you'll do
  • Lead engineers and collaborate with product managers to craft, build, and implement machine learning systems that solve sophisticated business problems.
  • Architect and optimize end-to-end ML pipelines for scalability, performance, and reliability.
  • Collaborate with senior leadership and multi-functional teams to support central AI initiatives and drive innovation.
  • Collaborate with product and platform teams to integrate ML and GenAI models into Adobe products, with a focus on enabling creative and productive experiences.
  • Perform rigorous testing, debugging, and tuning of ML systems in production environments.
  • Mentor junior engineers and scientists, advocating for standard methodologies and a culture of experimentation and learning.
  • Contribute to research papers, open-source initiatives, and represent Adobe at conferences and industry forums.
  • Provide technical leadership, driving the adoption of modern ML practices and technologies.
What you need to succeed
  • Bachelor's or advanced degree with 8+ years of experience, or PhD with 5+ years in crafting, evaluating, and deploying machine learning models at scale.
  • Deep expertise in machine learning, statistical modeling, and applied AI.
  • Proven success in shipping ML models to production, with measurable business impact.
  • Proficiency in Python, Java, or C++, and experience with ML tools such as PyTorch, TensorFlow, scikit-learn, SparkML, or similar.
  • Strong analytical and problem-solving skills, with an ability to distill complexity into clear, actionable strategies.
  • Excellent communication and collaboration skills, with the ability to influence product and engineering teams.
  • A track record of mentorship and technical leadership.
  • Passion for Generative AI and applying ML to improve creativity and efficiency.
  • Experience collaborating across research and product teams, bridging the gap between innovation and delivery.

    #AEPGENAI
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 positionis $162,000 -- $301,200 annually. Paywithin this range varies by work locationand 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.

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.

Adobe is proud to be an Equal Employment Opportunityemployer. 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.

Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.comor call (408) 536-3015.

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