Adobe's Experience Intelligence team is seeking a Software Engineer to join their Content Generation team to transform research-level proof of concepts into production systems like Genstudio for Performance Marketing. The role focuses on empowering customers to generate high-performing, on-brand marketing content at scale.
The position involves developing and deploying ML services from zero to production, architecting and optimizing end-to-end ML pipelines, and engaging throughout the product lifecycle in architecture, design, deployment, and production operations of ML models and systems.
The ideal candidate should have a graduate or postgraduate degree in Computer Science or related field (or equivalent experience) and 3+ years of proven experience as a Software Engineer with successful delivery of projects to customers, preferably in ML/Gen AI domain. Strong Python and REST API skills are essential, along with experience in deployment technologies like Docker, ML Ops, and cloud platforms like Azure and AWS.
Experience with LLM frameworks and tools like Hugging Face, LangChain, PEFT, and LlamaIndex is a plus. The role requires excellent problem-solving abilities and strong communication skills for success in cross-functional team environments.
Adobe offers competitive compensation ($113,400 - $206,300 annually), comprehensive health benefits, flexible work arrangements, and opportunities for continued learning and development. The collaborative culture encourages growth, innovation, and making a real impact in the field of machine learning and AI.
Join Adobe's mission to transform research concepts into production-ready AI systems and be part of a diverse, lively group of engineers and scientists with deep roots in the ML space. Your work will directly drive the mission of empowering customers with scalable, high-performing marketing content generation capabilities.