Samsung Director Machine Learning 

United States, California, Mountain View 

532042592

Role and Responsibilities

• Build and lead a global world-class ML engineering team recognized across the industry.
• Lead end-to-end feature teams consisting of both ML and non-ML engineers to ensure on-time, high-quality execution of projects and deliver ML-powered advertising solutions with substantial revenue impact.
• Closely work with cross-site cross-functional stakeholders to refine the product strategy, create effective roadmaps, and drive products from ideation to general availability.
• Establish and drive the long-term vision and executable strategies for the ML team.
• Take initiative to research the latest ML technologies, keep up-to-date with industry trends and developments, and advance the team’s ML capabilities.
• Ideate new ML projects with significant business value and create proof of concepts.
• Introduce and enforce best engineering practices, uphold engineering quality standards, and streamline ML development and deployment processes.
• Work with external partners to introduce new ML features and tools and assess new opportunities.
• Manage performance, career growth and engagement of team members and foster a culture of technical excellence, collaboration, and innovation.

Skills and Qualifications

• Master’s or PhD degree in Computer Science or related fields.
• 10+ years of industry experience with a Master’s degree or 7+ years of industry experience with a PhD degree.
• Proven track record of delivering advertising-related ML products with substantial revenue impact.
• Solid theoretical background in ML.
• Deep understanding of scalable ML systems, platforms, models, and methodologies.
• Excellent communication and interpersonal skills; ability to influence at all levels.
• Strong technical leadership and organizational abilities.
• Excellent project and people management skills.

Preferred Experience Requirements:

• Experience with performance ads solutions.
• Experience in leading a global team across time zones and cultures.
• Basic knowledge about Amazon Web Services (AWS) and Snowflake.
• Publications in top relevant venues (e.g., TPAMI, NeurIPS, ICML, ICLR, KDD, WWW, AAAI, IJCAI, etc.)