Software Engineer, ML Tech Transfer

🕒 July 27

🏄 California – Remote

🏄 California – Remote

💵 $172.5k - $306.6k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Adobe

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1982

💼 Consulting

📣 Marketing

Consulting • Marketing • Software

Adobe is a leading software company specializing in creative and digital marketing solutions. It offers a wide range of creative apps and services, including industry-standard tools like Photoshop, Illustrator, and Premiere Pro as part of its Adobe Creative Cloud suite. Adobe also provides business solutions such as the Adobe Experience Cloud, which includes marketing automation, analytics, and content management. With a focus on enhancing customer experiences through generative AI and digital asset management, Adobe serves industries like Financial Services, Retail, Media & Entertainment, and more. Adobe is also well-known for its PDF and e-signature solutions, such as Adobe Acrobat and Acrobat Sign, catering to both individuals and businesses.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development • Bonuses • Stock options • Equipment allowances