Position Summary

Samsung Ads is an advanced advertising technology company that is rapidly growing and 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 worldwide means that we get to work on the most challenging projects with stakeholders and teams 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 at the core of the advertising industry. This is no exception to Samsung Ads. At Samsung Ads, we actively explore the latest machine-learning techniques to improve our existing systems and products and create new revenue streams. As a machine learning model director 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.

Location: Mountain View, CA

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

CALIFORNIA ONLY
Compensation for this role is expected to be between $285,000 and $300,000. Actual pay will be determined by considering factors such as relevant skills and experience and comparing them to other employees in the role.

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