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 & 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 & 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 & 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,
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