Staff Machine Learning Engineer 5

We are looking for a Staff Machine Learning Engineer to join our team of driven machine learning and software engineers. This role covers system design, prompt engineering, ML model evaluation, building data pipelines, prototype creation, and operationalization. The ideal candidate will have a strong background in both classical and deep learning, along with experience developing and deploying production-ready ML and GenAI solutions. If you enjoy shipping impactful, customer-facing features, experimenting with new technologies, and contributing to high-visibility projects with room for creativity and ownership, this role is for you. Our work is dynamic, collaborative, and data-driven. What You’ll Do Bring a 0→1 product mindset, helping shape ideas into real, measurable impact. Design, build, and optimize backend services that power ML and Generative AI features. Develop, evaluate, and deploy ML models using classical, deep learning, and GenAI approaches. Contribute to agentic systems and orchestration frameworks that enable intelligent, multi-step reasoning and task automation. Collaborate with cross-functional teams to integrate ML solutions into production workflows. Analyze and improve the efficiency, accuracy, and scalability of AI-enabled systems. Stay up to date with advancements in ML, GenAI, and prompt optimization research. Mentor junior engineers and help grow the team’s technical depth. What You Need to Succeed Required Qualifications Master’s or Ph.D. in Computer Science, Machine Learning, or a related technical field. 10+ years of experience in machine learning engineering, applied research, or production ML systems. Strong Python software engineering skills, including system design, clean architecture, testing, CI/CD, version control, and code review best practices. Experience taking ML-powered features from 0→1 through production and ongoing iteration. Hands-on experience deploying and monitoring ML models in production environments. Experience designing or contributing to agentic architectures and multi-agent orchestration systems. Strong understanding of classical ML, deep learning, and modern Generative AI techniques. Familiarity with cloud platforms (AWS, GCP, or Azure) for scalable ML deployment. Solid foundation in data structures, algorithms, and distributed system design. Comfortable leveraging AI coding agents to accelerate development workflows. Excellent communication skills and demonstrated technical leadership experience. Preferred Qualifications Experience with Generative AI systems, prompt optimization frameworks, and LLM-as-a-judge / evaluation methodologies. Deep understanding of Retrieval-Augmented Generation (RAG) and modern NLP pipelines. Experience with MLOps tooling, experiment tracking, model lifecycle management, and observability frameworks. Track record of mentoring engineers and influencing technical direction on high-visibility projects. 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 ... (truncated, view full listing at source)