Director of Machine Learning (Mountain View)

This range is provided by Samsung Ads. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.

Base pay range

$280,000.00/yr - $300,000.00/yr

Additional compensation types

Annual Bonus and Sign-on bonus

Position Summary

Samsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling advertisers to connect with Samsung TV/mobile audiences as they are exposed to digital media by using the industrys most comprehensive data to build the worlds smartest advertising platform. Being part of an international company such as Samsung and doing business around the world means that we get to work on the most challenging projects with stakeholders and teams located around the globe.

We are proud to have built a world-class organization grounded in an entrepreneurial and collaborative spirit. Working at Samsung Ads offers one of the best environments in the industry to learn just how fast you can grow, how much you can achieve, and how good you can be. We thrive on problem-solving, breaking new ground, and enjoying every part of the journey.

Machine learning (ML) lies in the core of the advertising industry. This is no exception to Samsung Ads. At Samsung Ads, we are actively exploring the latest ML techniques to improve our existing systems and products, create new revenue streams, and define the future of Samsung Ads. As a member of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary big data to develop and deploy a wide spectrum of large-scale ML products with real-world impact. You will work closely with top-notch ML engineers and be supported by a talented engineering team to work on exciting ML projects and state-of-the-art technologies. You will be welcomed by a unique learning culture and creative work atmosphere. This is an exciting and unique opportunity to get deeply involved in envisioning, designing and implementing cutting-edge ML products with a growing team.

Location: Mountain View, CA

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 teams 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.

Experience Requirements:

• Masters or PhD degree in Computer Science or related fields.
• 10+ years of industry experience with a Masters 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.)

Seniority level

• Seniority level

  Director

Employment type

• Employment type

  Full-time

Job function

• Job function

  Advertising, Engineering, and Project Management

• Industries

  Computers and Electronics Manufacturing, Advertising Services, and Technology, Information and Media

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

Student loan assistance

Tuition assistance

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