Machine Learning Architect 5 - GenAI Experiences

Senior Machine Learning Architect We are seeking a Senior Machine Learning Architect to help define and deliver the next generation of AI‑powered user experiences across Adobe Experience Cloud. What You’ll Do Build and ship ML‑driven capabilities that power AI‑assistant user experiences across Adobe Experience Cloud, with a strong emphasis on usability, trust, and proactivity. Design and architect ML systems that blend multiple approaches—including LLMs, classical ML/NL/IR, and heuristics—to solve complex user‑facing problems at scale. Work deeply with user‑centric data such as page and UI structure, semantics, state, interaction logs, UI events, behavioral signals, and human feedback loops to inform modeling, evaluation, and iteration. Apply and evolve non‑GenAI techniques where appropriate, including recommendation systems, clustering, ranking, NLP pipelines, heterogeneous graph traversal, and edge‑based or on‑device models. Develop and evolve agentic and reasoning‑based systems that integrate retrieval, context, workflows, and decisioning in service of grounded, high‑quality user experiences. Partner closely with UI engineers, designers, product managers, and researchers to ensure ML capabilities are expressed through intuitive, coherent interaction patterns. Define and own evaluation frameworks that incorporate UX‑relevant signals such as relevance, latency, consistency, visual quality, and human feedback—not just offline accuracy metrics. Drive system reliability, scalability, and performance for user‑facing ML systems, including real‑time and edge inference, experimentation, and monitoring under strict latency, privacy, and compute constraints. Serve as a senior technical leader and mentor, helping shape ML direction and standards across experience‑focused teams. What You Need to Succeed Bachelor’s degree with 10+ years of industry experience, or Master’s/PhD with equivalent experience, building and shipping ML systems at scale. Strong background in applied machine learning, spanning both modern GenAI techniques and classical ML approaches. Demonstrated experience architecting ML systems end‑to‑end, from data ingestion and modeling to production deployment and iteration. Proven success delivering AI/ML solutions that directly impact user experience, engagement, or productivity. Proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, HuggingFace, or equivalent. Hands‑on experience with user‑centric data pipelines, experimentation frameworks, and production evaluation. Experience with LLMs, retrieval‑augmented generation, prompt and context engineering and agent creation/agentic systems. Strong judgment in selecting the right AI/ML approach for a given problem, rather than defaulting to a single technique. Excellent communication and collaboration skills, with the ability to influence engineering, product, and design partners. A track record of technical leadership, mentorship, and shaping ML direction beyond individual projects. Nice to have: Experience with on‑device/edge ML constraints (latency, memory, privacy), and/or model optimization for client environments (the roadmap emphasizes client‑side models and “edge inference & optimization”). Experience building human‑in‑the‑loop systems (annotation, feedback, calibration, explainability, interruption management). Experience building UI and user‑experience workflows. Experience with React, CSS and Nodejs. Adobe is proud to be an Equal Employment Opportunity employer. #J-18808-Ljbffr Adobe