Senior Machine Learning Engineer

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!

Senior Machine Learning Engineer

Shape the Future of Digital Creativity at Adobe

Adobe is revolutionizing the landscape of digital experiences through agents and generative AI, and we're seeking a highly accomplished Senior Machine Learning Engineer to join our Search, Discovery & Content AI (SDC) team. This is a pivotal role within a high impact organization, driving innovation across Adobe's Creative Cloud, Document Cloud, and Adobe Express platforms.

About the Role:

The SDC team is dedicated to empowering customers - from creative professionals to everyday users - with intelligent tools to create, manage, and discover digital content. We are building the next-generation platform stack to support the immense scale and breadth of Adobe's needs in content understanding, processing, and discovery, powering generative AI agents and the world's leading creative tools.

You will be a key technical leader, responsible for designing, developing, and deploying large-scale machine learning systems that directly impact millions of users and billions of content pieces. You will have the opportunity to push the boundaries of what's possible in generative AI, language models, and assistive experience optimization, all within the supportive infrastructure and resources of Adobe.

Responsibilities:

• Technical Leadership:Drive innovation and engineering excellence, mentoring and guiding engineering teams.
• System Design & Development:Architect and develop end-to-end machine learning systems using innovative architectures.
• Model Optimization & Deployment:Develop and implement scalable, GPU-optimized modeling algorithms capable of handling large-scale data in production environments.
• Pipeline Development:Build and maintain high-performance, scalable, and maintainable platform features throughout the complete ML pipeline.
• Collaboration & Communication:Partner with architects, product management, and engineering teams to translate product requirements into innovative technical solutions.
• Emerging Technologies:Design and develop runtimes and libraries for emerging ML technologies, ensuring we remain at the forefront of the field.
• Documentation & Review:Contribute to the creation of detailed requirements and design documents for features across the technology stack.

What You Need to Succeed:

• Education:PhD or master's degree in computer engineering, Computer Science, Computer Vision, Robotics, or a related field, or equivalent experience.
• Experience:Minimum 8+ years of impactful industry experience in machine learning.
• Technical Expertise:
  • Deep understanding of generative AI, deep learning, computer vision, and recommendation systems, with a proven track record of applying these methods to solve complex problems.
  • Proficiency with machine learning frameworks and tools such as Scikit-learn, Hugging Face, PyTorch, and PyTorch Lightning.
  • Hands-on experience building large-scale distributed systems and productizing ML pipelines.
  • Expertise with cloud technologies, Docker, and containerization.
  • Experience with AWS, Microsoft Azure, or equivalent cloud platforms.
  • Proficiency in one or more programming languages, including Python, C++, Java, and Rust.

• Strengths you'll need:
  • Exceptional analytical and quantitative problem-solving skills.
  • Excellent communication, interpersonal, and relationship-building skills.
  • Demonstrated ability to thrive in a collaborative team environment.

Join Adobe and become a part of a team that's shaping the future of creativity!

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.