Software Engineer Ai Model Training Jobs in Missouri

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.

• 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.

• 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.

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.

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 accommodations@adobe.com or call +1 408‑536‑3015.

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.

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 position is $172,500 -- $306,625 annually. Pay within this range varies by work location and 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.

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