Machine Learning Engineer 5

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!

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 Photoshop team is looking for a senior ML Engineer with a passion for technology and building creative imaging and photography experiences that delight customers. This individual will work with a very dynamic, customer-focused GenAI and Imaging Applied Research team, and will be responsible for productizing research models to work on mobile environment. The successful candidate will enable the "Adobe Magic" on these platforms to provide a satisfactory customer experience for our Photoshop flag ship ecosystem.

• Collaborate with researchers, software engineers, UI designers, product managers, quality engineers and customers to enable advanced AI/ML and GenAI technologies as library components running on-device, or as deployable model pipelines hosted on servers. These technologies will power Digital Imaging applications such as Photoshop and Lightroom.
• Model Conversion
• Convert models from frameworks like PyTorch into formats such as ONNX. This ensures compatibility and optimized performance across various platforms.
• Model Optimization:
• Employ cutting-edge techniques, such as quantization, sparsity-induction, pruning, etc, to compress and accelerate large models for optimal performance on resource-constrained devices.
• Analyze and optimize models for efficient execution on GPU/NPU.
• Diagnose performance bottlenecks and collaborate with hardware architecture teams to co-design solutions for improved latency, power consumption, and memory footprint.
• Model Deployment:
• Collaborate with application developers to integrate optimized models into applications, ensuring a seamless user experience.
• Evaluate the impact of optimization techniques on model quality by working with modeling and adaptation teams across different product use cases.
• Serve as a customer advocate and quality champion
• Bring energy, flexibility, focus and excellence to all projects and assignments
• Take initiative, tackle new challenges and acquire the necessary knowledge and skills to get the job done

• MS or PhD in Machine Learning Engineering or a related field.
• 5+ years of experience in ML engineering with a proven track record of designing, implementing, and delivering high-quality software with AI models.
• Proven programming skills with standard machine learning frameworks such as PyTorch. Experience with CoreML and ONNXRuntime is a plus.
• Proficient in modern programming languages C++ and Python, with extensive experience in large-scale application development.
• Familiarity with the TensorFlow model optimization toolkit is a plus.
• Familiarity with computer vision is a plus.
• Working knowledge and experience developing for multiple platforms including iOS, desktop, and web (WASM) is a plus.
• Dedication to excellent coding practices.
• Superior problem-solving and analytical skills.
• Passion for creating high-quality applications that users love.

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.

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.com or call (408) 536-3015.

Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other's employees.

Application Window Notice

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 is proud to be anEqual Employment Opportunityand 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.

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, emailaccommodations@adobe.comor call (408) 536-3015.

Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other's employees.