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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Adobe Systems - **Location:** Seattle, WA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Multitier Architecture, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Code Review, Continuous Integration, Data Structures, Distributed Systems, Python (Programming Language), Machine Learning, Multi-Agent Systems, Deep Learning, Generative AI, Backend, Information Technology, Machine Learning Operations, Software Version Control, Data Pipelines - **Published:** August 11, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/machine-learning-engineer-seattle-wa-usa-58899145 ## About the Role on ML, GenAI, and prompt optimization research * Mentor junior engineers and grow the team's technical depth Tasks * Master's or Ph.D. in Computer Science, Machine Learning, or related field * 5+ years of experience in ML engineering, applied research, or production ML systems * Strong Python software engineering skills including system design, clean architecture, testing, CI/CD, version control, and code reviews * Experience taking ML-powered features from concept to production and iterating * Hands-on experience deploying and monitoring ML models in production * Experience designing or contributing to agentic architectures and multi-agent 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 * Comfort with leveraging AI coding agents to accelerate development workflows * Excellent communication skills and proven technical leadership Key requirements * comprehensive benefits programs ## Description Experteer Overview In this role you will shape ML and GenAI features from concept to production, building backend services and data pipelines that power intelligent capabilities. You'll work with cross-functional teams to deploy robust ML solutions, optimize systems for performance and scalability, and mentor junior engineers. The role emphasizes hands-on experimentation, rapid iteration, and delivering customer-facing features that drive impact. You'll stay at the frontier of GenAI, prompt optimization, and multi-agent orchestration to deliver measurable outcomes. Compensation / Benefits * Design, build, and optimize backend services powering ML and GenAI features * Develop, evaluate, and deploy ML models using classical, deep learning, and GenAI approaches * Contribute to agentic systems and multi-agent orchestration frameworks * Collaborate with cross-functional teams to productionize ML solutions * Improve efficiency, accuracy, and scalability of AI-enabled systems * Stay updated on ML, GenAI, and prompt optimization research * Mentor junior engineers and grow the team's technical depth Tasks * Master's or Ph.D. in Computer Science, Machine Learning, or related field * 5+ years of experience in ML engineering, applied research, or production ML systems * Strong Python software engineering skills including system design, clean architecture, testing, CI/CD, version control, and code reviews * Experience taking ML-powered features from concept to production and iterating * Hands-on experience deploying and monitoring ML models in production * Experience designing or contributing to agentic architectures and multi-agent 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 * Comfort with leveraging AI coding agents to accelerate development workflows * Excellent communication skills and proven technical leadership Key requirements * comprehensive benefits programs ## Related Videos - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Are Code Reviews Worth It? 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