Software Engineer ML Tech Transfer

Adobe; United States; On-site; USD 172,500 - 306,625; Full time

Job summary

Adobe's Camera Raw team is seeking a Software Engineer to own the transfer of AI/ML models from research into shipping imaging products. You will work with ML scientists to evaluate models for product readiness and with software engineers to integrate, optimize, and ship those models across Adobe's imaging pipeline.

You will develop and maintain systems that bring cutting-edge AI models to life in production, contributing to Adobe's widely used creative tools like Photoshop, Lightroom, and

Qualifications

• Advanced degree required with 5+ years in software engineering.
• Experience deploying ML models into production.
• Strong C++ skills and performance-focused coding.
• Familiarity with ML model formats, runtimes and on-device inference.

Responsibilities

• Integrate ML models from prototype to production in Camera Raw and related imaging products.
• Collaborate with ML researchers to evaluate model readiness (accuracy, latency, memory).
• Design scalable on-device AI inference pipelines and manage packaging/versions.
• Lead code reviews and provide direction on ML integration, performance, and maintainability.
• Resolve complex ML and C++ integration issues across systems.
• Mentor engineers and share expertise through design reviews.
• Coordinate with product, engineering, XD and research teams on model needs.
• Define integration practices to improve quality and velocity across the team.

Skills

C++

ML integration

On-device optimization

Performance optimization

Cross-team collaboration

Education

Master's or PhD

Tools

ONNX

TensorRT

CoreML

Job description

The Opportunity

The Camera Raw team at Adobe is seeking an experienced Software Engineer to own the technical transfer of AI/ML models from research and training into shipping imaging products. This role sits at the intersection of machine learning and production engineering — you will work directly with ML scientists to evaluate and prepare models for product readiness, and with software engineers to integrate, optimize, and ship those models across Adobe's imaging pipeline. Your work will directly shape how AI-powered creative features reach millions of photographers worldwide across Photoshop, Lightroom, and Adobe Camera Raw.

As a Software Engineer on the Camera Raw team, you will develop and maintain the systems and practices that bring cutting-edge AI models to life in production, contributing to some of the most widely used creative tools in the world.

What you’ll do

• Own end-to-end integration of ML models into Camera Raw and related Adobe imaging products, from prototype to production.
• Partner with ML researchers to evaluate new models for product readiness, including accuracy, latency, memory, and platform constraints.
• Design and maintain scalable on-device AI inference pipelines, including model packaging, versioning, artifact management, and runtime integration.
• Define integration practices and patterns that improve consistency, quality, and engineering velocity across the team.
• Lead code reviews and provide technical direction on ML integration, performance, and long-term maintainability.
• Resolve complex integration issues that span ML systems and production C++ codebases.
• Mentor engineers and share expertise through design reviews and knowledge transfer sessions.
• Collaborate with product, engineering, XD and research teams to align on model needs and integration priorities.

What you’ll need to succeed

• Master's degree or Ph.D. in Computer Science, Engineering, AI/ML, or a related field required.
• 5+ years of software engineering experience, with a focus on integrating ML models into production systems.
• Deep experience with ML model formats, inference runtimes, and on-device optimization (CoreML, ONNX, TensorRT, or equivalent).
• Strong C++ skills and experience working in performance-sensitive production codebases.
• Familiarity with model packaging, artifact management, and ML versioning workflows.
• Proven ability to work effectively across ML and engineering teams, translating between research and production requirements.
• Passionate about photography, image quality, and the craft of building tools that serve photographers and creative professionals.
• Experience with image processing, computational photography, or creative imaging pipelines is a strong plus.
• Familiarity with segmentation, generative, or diffusion models in production settings is a strong plus.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

Let’s Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity 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 protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process 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 [e-mail] or call [phone].

AI Use Guidelines for Interviews:

Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .

Expected Pay Range:

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 $172,500 -- $306,625 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.

In California, the pay range for this position is $211,800 - $306,625

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.