Machine Learning Engineer

Adobe is seeking a talented Machine Learning Engineer to join their Digital Experience team, focusing on transforming how companies approach audience creation, journey optimization, and personalization at scale. This role offers a unique opportunity to work at the intersection of research and product development, collaborating with Adobe Research and other business units to build innovative ML solutions.

The position involves developing and deploying cutting-edge predictive and generative models, with a particular focus on building autonomous agents and implementing agentic frameworks for adaptive decision-making. You'll be responsible for implementing ML-Ops best practices and ensuring scalable, reliable machine learning workflows.

As part of a diverse and collaborative team well-established in the ML space, you'll engage in the complete product lifecycle from architecture to production operations. The role requires both technical expertise in ML/AI and the ability to understand business needs to make appropriate recommendations for predictive models and quality metrics.

The ideal candidate should have strong foundations in statistical modeling and machine learning, with experience in building large-scale data pipelines. Proficiency in programming languages like Python, Java, or Scala, and familiarity with ML frameworks such as TensorFlow or PyTorch is essential. The role offers competitive compensation ranging from $120,700 to $228,600 annually, based on experience and location.

Adobe offers a dynamic, fast-paced environment where you'll work on transformative AI solutions that impact millions of users worldwide. The company is committed to creating exceptional employee experiences and fostering an inclusive environment where new ideas can come from anywhere in the organization. Join Adobe to be part of a team that's shaping the future of digital experiences through innovative machine learning solutions.