Director of Machine Learning - Samsung Ads : Job Details

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 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.

#J-18808-Ljbffr