Machine Learning Engineer
AdobeSan Jose$162k – $234kPosted 5 March 2026
Tech Stack
Job Description
The Opportunity Adobe is looking for a Machine Learning Engineer to understand and optimize the experience of Adobe’s Digital Experience customers. By partnering with Adobe Research and other business units, you will build products that transform how companies approach audience creation, journey optimization, and personalization at scale. Join a diverse, collaborative, and lively group of engineers and scientists well-established in the ML space. The work here is dynamic, fast-paced, creative, and data-driven. What you'll Do: Develop innovative models in collaboration with Adobe Research. Design, develop, and deploy applications powered by predictive and generative models, with a focus on building autonomous agents and using agentic frameworks for adaptive decision-making. Implement ML-Ops best practices to ensure scalable, reliable, and efficient machine learning workflows. Engage in the product lifecycle, including architecture, design, deployment, and production operations. Understand data to make recommendations for the right predictive models, quality metrics, and governance approaches. What you need to succeed: MS in Computer Science, Data Science or Statistics with 3+ years of applied AI/ML experience, including developing, evaluating ML models, and deploying models into production or PhD degree in Computer Science, Data Science, or a related field. Deep understanding of statistical modeling, machine learning, or analytics concepts, with a proven track record of solving problems using these methods. Experience in building large-scale data pipelines. Ability to quickly learn new skills and work in a fast-paced team. Proficiency in one or more programming languages such as Python, Scala, Java, or SQL. Proficiency in ML frameworks such as scikit-learn, SparkML, TensorFlow, or PyTorch. Experience working with both research and product teams. Excellent problem-solving and analytical skills. Excellent communication and relationship-building skills. 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, 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. AI Use Guidelines for Interviews: 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 ... (truncated, view full listing at source)
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