Machine Learning Engineer

Adobe is seeking a Machine Learning Engineer to transform the way companies approach audience creation, journey optimization, and personalization at scale. As part of Adobe's Digital Experience team, you'll collaborate with Adobe Research and other business units to build innovative products. You'll join a diverse, collaborative group of engineers and scientists established in the ML space, working in a dynamic, fast-paced, creative, and data-driven environment.

The role involves developing cutting-edge ML models and implementing them into production systems. You'll work on both traditional engineering challenges like API design and cloud deployment, as well as ML-specific tasks including model development and evaluation. The position requires expertise in statistical modeling, machine learning, and analytics, along with strong programming skills in languages like Python, Java, and SQL.

You'll be responsible for the full product lifecycle, from architecture to production operations, while working closely with both research and product teams. The ideal candidate should have 3-5 years of applied AI/ML experience and strong academic credentials in Computer Science or related fields.

Adobe offers a competitive compensation package ranging from $120,700 to $228,600 annually, based on location and experience. The company provides a collaborative environment where you can make a significant impact on how businesses approach digital experiences. As part of Adobe's commitment to innovation, you'll have the opportunity to work with cutting-edge technology while contributing to products that serve global brands and creators.

The position offers the chance to work with a diverse team of professionals, tackle complex technical challenges, and shape the future of digital experience optimization. Adobe values creativity, innovation, and technical excellence, making it an ideal environment for machine learning professionals looking to make a meaningful impact.