Research Director AI Cambridge

A Research Director leads strategic research initiatives and manages teams of research scientists and engineers working on cutting:edge technologies, particularly in areas of machine learning, generative AI, model compression, optimization, on:device deployment, and emerging technologies that align with our clients long:term vision and product ecosystem.

Leadership and Strategy :Define and execute long:term research vision and strategy aligned with business objectives and product roadmap :Lead and mentor diverse teams of research scientists, engineers, and interns :Collaborate closely with product teams, business units to translate research breakthroughs into practical applications and commercial solutions :Foster innovation culture and maintain competitive position at the forefront of AI technological advancement Research Oversight :Oversee multiple complex research projects from conception through publication, implementation, successful on:device deployment and commercialization :Ensure research quality, methodological rigor, and scientific excellence across all projects :Guide publication strategies for top:tier academic conferences while balancing open research with proprietary innovations :Drive intellectual property development and patent filing strategies :Evaluate emerging research directions and assess their potential impact on technology portfolio Team Management and Development :Recruit, hire, and develop world:class research talent across diverse technical disciplines :Provide technical mentorship, career development guidance, and performance management for team members :Manage resource allocation for research initiatives and infrastructure :Create a collaborative environment that encourages creativity, risk:taking, and breakthrough thinking :Build and maintain high:performing, inclusive research teams that deliver exceptional results Education and Experience :PhD in Computer Science, Machine Learning, Artificial Intelligence, or related technical field :10+ years of post:PhD research experience with a strong publication record in top:tier venues as both main contributor and manager :Previous leadership experience of managing research teams of 10+ members (typically 5+ years in leadership roles) :Proven track record of successfully translating research innovations into real:world products, deployments, or measurable business impact :Experience with technology transfer and commercialization processes Technical Expertise :Deep expertise in relevant areas of AI/ML, including at least some of large language models,