Machine Learning Engineer

Adobe is seeking a Machine Learning Engineer to join their Digital Experience team, working at the intersection of cutting-edge ML technology and enterprise solutions. This role offers an exciting opportunity to shape how companies approach audience creation, journey optimization, and personalization at scale.

The position involves close collaboration with Adobe Research and other business units to develop and deploy innovative machine learning solutions. You'll be working with a diverse, collaborative team that's well-established in the ML space, focusing on building autonomous agents and implementing adaptive decision-making frameworks.

Key aspects of the role include:

• Developing and deploying predictive and generative models
• Implementing ML-Ops best practices for production-grade systems
• Building large-scale data pipelines
• Working across the full product lifecycle from architecture to production

The ideal candidate should have an MS in Computer Science/Data Science with 3+ years of AI/ML experience or a PhD in a related field. Strong programming skills in Python, Java, or Scala, and experience with ML frameworks like TensorFlow or PyTorch are essential. The role requires both technical expertise and excellent communication skills to work effectively with research and product teams.

Adobe offers a competitive compensation package ranging from $120,700 to $228,600 annually, varying by location and experience. The company is known for its innovative work culture, commitment to diversity, and impact on digital experiences worldwide. This role provides an opportunity to work on cutting-edge ML applications while contributing to products used by leading global brands.