Software Engineer, ML Tech Transfer

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 ‚Äî 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 ,