Position Summary
Position Summary
Samsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling brands to connect with Samsung TV 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 lies in the core of the advertising industry. This is no exception to Samsung Ads. At Samsung Ads, we are actively exploring the latest machine learning techniques to improve our existing systems and products and create new revenue streams. As a machine learning model engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact. You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning 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 machine learning products with a growing team.
Role and Responsibilities
Responsibilities
Lead multiple global feature teams to deliver production-grade machine learning solutions with notable business impact from end to end
Establish a clear vision and executable strategies for different machine learning component teams
Take initiative to address technical challenges, tackle open problems, and advance the team's machine learning capabilities
Research latest machine learning technologies and keep up-to-date with industry trends and developments
Ideate new machine learning projects with significant business value and create proof of concepts
Introduce and enforce best engineering practices, uphold engineering quality standards, and streamline machine learning development and deployment processes
Interface with cross-site cross-functional stakeholders to create effective roadmaps, manage their expectations, and ensure smooth execution of projects
Closely work with external partners to introduce new machine learning features and tools
Help establish the team's reputation beyond Samsung
Mentor and grow junior members in the team and foster a positive team culture
Skills and Qualifications
Experience Requirements: Master's or PhD degree in Computer Science or related fields
10+ years of industry experience with a Master's degree or 6+ years of industry experience with a PhD degree
Experience with leading production-grade machine learning products with substantial revenue impact
Solid theoretical background in machine learning and/or data mining
Solid understanding of real-time machine learning systems
Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.)
Experience with mainstream big data tools (e.g., MapReduce, Spark, Flink, Kafka, etc.)
Extensive programming experience in Python, Go or other OOP languages
Familiarity with data structures, algorithms and software engineering principles
Excellent communication and interpersonal skills
Strong technical leadership and organizational abilities
Excellent project and team management skills
Preferred Experience Requirements: Publications in top relevant venues (e.g., TPAMI, NeurIPS, ICML, ICLR, KDD, WWW, AAAI, IJCAI, etc.)
Basic knowledge about Amazon Web Services (AWS)
Experience with the advertising industry, real-time bidding (RTB) ecosystem, demand-side platform (DSP), and Ad Manager
Salary Range Pay Transparency: Compensation for this role, for candidates based in Mountain View, CA, is expected to be between $285,000 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.
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