Job
Description
Amazons Advertising Trust (AT) organization is seeking a Director of Applied Science to lead and expand our India-based science team. This pivotal role will shape the future of advertising trust science, overseeing and growing an Applied Science team located in Bengaluru. Reporting to the Director of Global Applied Science and Engineering, you will drive innovation in content understanding, policy automation, and GenAI applications while scaling our capabilities across Amazons advertising ecosystem.
As the primary AT site leader in India, you will establish and nurture a high-performing Applied Science team in Bengaluru, fostering a culture of innovation and excellence. Your responsibilities include developing comprehensive strategies for talent acquisition, retention, and development in the local market. Working closely with HR and local leadership, youll create a compelling employee value proposition that attracts and retains top talent in the region. In this role, youll drive the development and deployment of scaled models in a high-availability, complex real-time ecosystem. AT is at the forefront of Advertising-specific Foundational Model development, and youll lead initiatives to leverage rich metadata capabilities in the ad-serving bidder. Your expertise will be crucial in partnering with business, sales, product, and policy teams to identify and solve the most challenging technical problems facing the Ads business. Your influence will extend across organizations as you work effectively with distributed teams across time zones and cultures. The role demands maintaining high standards of technical excellence, operational efficiency, and team culture. Youll provide industry-leading scientific guidance for complex initiatives while engaging in hands-on work on critical problems that accelerate the teams progress. Success in this position requires a proven track record of building and leading high-performing teams in a global context, ideally with experience in India. You should bring extensive experience in Applied Science, particularly in areas relevant to advertising trust and content understanding. Your leadership skills must demonstrate the ability to influence and collaborate across diverse teams and cultures, backed by deep technical expertise in machine learning, GenAI, and large-scale data processing. Your past work should exemplify resounding business impact at scale and represent industry-first inventions for customers. Were looking for someone who has led the definition, design, architecture quality, implementation, and delivery of advanced, cross-cutting scientific challenges, ideally in the Ad Tech industry. Strong communication skills and the ability to articulate complex technical concepts to various stakeholders are essential. This role presents a unique opportunity to shape the future of advertising trust science while building and leading a world-class team in India. You will play a crucial part in ATs mission to leverage new technology for creating a trustworthy advertising ecosystem at Amazons scale. The impact of your leadership will extend beyond technical achievements to establishing a strong foundation for ATs continued growth and innovation in India. Strategic Leadership Define and execute the scientific and technical vision for ATs next generation of tools and capabilities. Drive innovation in GenAI, LLMs, computer vision, and other emerging technologies. Lead cross-functional planning and execution across science teams. Partner with senior leaders across Amazon Advertising to align on strategic initiatives. Organizational Development Build and scale high-performing teams Drive hiring and development strategies for senior technical talent Create career growth paths across scientific roles Establish performance standards and development frameworks Foster a culture of innovation, inclusion, and technical excellence Technical Innovation Guide research directions in content understanding, policy automation, and trust safety Drive adoption of emerging technologies while ensuring operational excellence Partner with academia and research organizations to advance the state of the art Represent ATs technical achievements across multiple venues Product Business Impact Align technical investments with business priorities and customer needs Drive measurable improvements in accuracy, efficiency, and scale Own key metrics across moderation quality, automation rates, and customer satisfaction Build strong partnerships with business stakeholders and partner teams Guide product strategy and roadmap development Ph.D. in Computer Science, Machine Learning, Operations Research, or related field 15+ years of industry experience in applied research and development 8+ years of large scale technical organization and people management Track record of delivering large-scale ML/AI system Strong publication record in top-tier conferences/journals Experience managing multi-disciplinary technical teams Experience in ad tech, content moderation, or trust safety Track record of successful organizational transformation Experience with GenAI and large language models Strong business acumen and strategic thinking skills Experience managing distributed global teams History of external thought leadership and industry recognition
