Join to apply for the Director of Machine Learning role at Samsung Electronics America
Join to apply for the Director of Machine Learning role at Samsung Electronics America
Get AI-powered advice on this job and more exclusive features.
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.
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.
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.
- 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.
- 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.)
Salary Range Pay Transparency: Compensation for this role, for candidates based in Mountain View, CA is expected to be between $280,000 and $300,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role. Regular full-time employees (salaried or hourly) have access to benefits including: Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more.
- Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.
- Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.
Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.
Seniority level
Seniority level
Director
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information TechnologyIndustries
Computers and Electronics Manufacturing
Referrals increase your chances of interviewing at Samsung Electronics America by 2x
Get notified about new Director of Machine Learning jobs in Mountain View, CA .
Mountain View, CA $280,000.00-$300,000.00 5 days ago
San Francisco Bay Area $180,000.00-$220,000.00 2 weeks ago
San Francisco Bay Area $228,000.00-$312,000.00 2 weeks ago
Head of ML/AI Exploration, Architecture, & Engineering
Mountain View, CA $248,000.00-$345,000.00 2 weeks ago
San Jose, CA $165,300.00-$327,600.00 3 days ago
San Jose, CA $232,000.00-$398,750.00 1 month ago
Director, ADAS Perception Software Engineering and Machine Learning
Managing Director of Strategic Solutions, Surgery and AI Transformation
Director of Product - AI Training Platform Software
Sunnyvale, CA $169,000.00-$338,000.00 6 days ago
Menlo Park, CA $243,000.00-$379,500.00 2 weeks ago
San Jose, CA $201,100.00-$429,100.00 1 week ago
Founding Director of Design, AI Experiences
Director, Machine Learning, Discovery Chemistry
Director of Data Science - Recommendations and E-Commerce
Pleasanton, CA $201,700.00-$267,300.00 1 month ago
Senior Director, Commercial Data Science
Director of Product Management, AI Infrastructure Services
Redwood City, CA $200,000.00-$280,000.00 1 week ago
San Jose, CA $205,600.00-$394,400.00 1 week ago
San Jose, CA $220,000.00-$270,000.00 5 days ago
Director, Development, Ads Safety, Platform and Experiences
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