Samsung Ads
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.
All potential candidates should read through the following details of this job with care before making an application. 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 industry’s most comprehensive data to build the world’s 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 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. Experience Requirements: 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.) Seniority level
Seniority levelDirector Employment type
Employment typeFull-time Job function
Job functionAdvertising, Engineering, and Project Management IndustriesComputers and Electronics Manufacturing, Advertising Services, and Technology, Information and Media Referrals increase your chances of interviewing at Samsung Ads by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Student loan assistance Tuition assistance Get notified about new Director of Machine Learning jobs in
Mountain View, CA . San Jose, CA $165,300.00-$327,600.00 1 week ago San Francisco Bay Area $180,000.00-$220,000.00 4 weeks ago Head of ML/AI Exploration, Architecture, & Engineering Mountain View, CA $248,000.00-$345,000.00 4 days ago Mountain View, CA $414,000.00-$506,000.00 3 days ago Palo Alto, CA $204,000.00-$286,000.00 3 weeks ago San Jose, CA $147,000.00-$305,500.00 14 hours ago San Jose, CA $232,000.00-$398,750.00 1 month ago Director, ADAS Perception Software Engineering and Machine Learning San Francisco Bay Area $200,000.00-$250,000.00 2 weeks ago Senior Director – AI, Data & Optimization Menlo Park, CA $253,000.00-$314,000.00 2 weeks ago Sunnyvale, CA $169,000.00-$338,000.00 2 weeks ago Director of Product - AI Training Platform Software Santa Clara, CA $272,000.00-$425,500.00 1 day ago Director of AI Engineering (w/ NLP exp) for Oracle Analytics Redwood City, CA $122,500.00-$291,800.00 1 week ago Founding Director of Design, AI Experiences San Francisco Bay Area $250,000.00-$300,000.00 2 weeks ago San Jose, CA $201,100.00-$429,100.00 1 day ago Dublin, CA $130,000.00-$340,000.00 4 days ago Director, Machine Learning, Discovery Chemistry We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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All potential candidates should read through the following details of this job with care before making an application. 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 industry’s most comprehensive data to build the world’s 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 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. Experience Requirements: 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.) Seniority level
Seniority levelDirector Employment type
Employment typeFull-time Job function
Job functionAdvertising, Engineering, and Project Management IndustriesComputers and Electronics Manufacturing, Advertising Services, and Technology, Information and Media Referrals increase your chances of interviewing at Samsung Ads by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Student loan assistance Tuition assistance Get notified about new Director of Machine Learning jobs in
Mountain View, CA . San Jose, CA $165,300.00-$327,600.00 1 week ago San Francisco Bay Area $180,000.00-$220,000.00 4 weeks ago Head of ML/AI Exploration, Architecture, & Engineering Mountain View, CA $248,000.00-$345,000.00 4 days ago Mountain View, CA $414,000.00-$506,000.00 3 days ago Palo Alto, CA $204,000.00-$286,000.00 3 weeks ago San Jose, CA $147,000.00-$305,500.00 14 hours ago San Jose, CA $232,000.00-$398,750.00 1 month ago Director, ADAS Perception Software Engineering and Machine Learning San Francisco Bay Area $200,000.00-$250,000.00 2 weeks ago Senior Director – AI, Data & Optimization Menlo Park, CA $253,000.00-$314,000.00 2 weeks ago Sunnyvale, CA $169,000.00-$338,000.00 2 weeks ago Director of Product - AI Training Platform Software Santa Clara, CA $272,000.00-$425,500.00 1 day ago Director of AI Engineering (w/ NLP exp) for Oracle Analytics Redwood City, CA $122,500.00-$291,800.00 1 week ago Founding Director of Design, AI Experiences San Francisco Bay Area $250,000.00-$300,000.00 2 weeks ago San Jose, CA $201,100.00-$429,100.00 1 day ago Dublin, CA $130,000.00-$340,000.00 4 days ago Director, Machine Learning, Discovery Chemistry We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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