Job Description

This is a high-impact opportunity for someone passionate about AI, engineering innovation, and strategic alignment across diverse teams and technologies. Cultivate strong partnerships with Adobe Research, AI Foundations Applied Research and Engineering teams and other partner teams shape the product vision, roadmap, and business strategy. In this capacity lot of research ideas, and business needs will have to be prioritized, prove out , so that they become mainstream in due course. This keeps the balance of research ideas to follow and business needs to be met. Oversee all facets of ML product development and the software engineering lifecycle, including ML modeling, data/ML pipelines, and quality evaluations. Recruit, lead, and mentor a team with varied strengths of ML engineers and data scientists. Cultivate a team culture centered on meticulous scientific methods and deep customer engagement. Promote an engineering culture that values innovation and creativity while ensuring high-quality, reliable product deliveries. Lead project scope and address risks through data analytics and creative problem-solving. Uphold engineering excellence in architecture, execution, and delivery. Basic Qualifications: Bachelor s, Master s, or PhD in Computer Science, ML, Applied Mathematics, Data Science, or a related technical field, or equivalent technical experience. At least 8 years of industry experience in machine learning, optimization algorithms, and/or deep-learning techniques. At least 3 years of experience managing a team of ML and AI engineers. Preferred Qualifications: Work experience in Creative Domains, Imaging Domains will be highly useful Good exposure to LLMs and Diffusion Models Experience developing large scale systems What you need to succeed Proven record of leading and managing engineering teams and fostering an innovative and collaborative environment. Track record of delivering cloud-scale, data-driven products and services that are widely adopted with large customer bases. A relentless pursuit of great customer experiences and continuous improvements to the product. Strong interpersonal, analytical, problem-solving, and conflict resolution skills. Excellent speaking, writing, and presentation skills, and the ability to persuade, encourage, and empower others. Ability to clearly communicate technical concepts to non-technical internal partners and customers. Advanced degree or equivalent experience in computer science or a related field of study.