Samsung Ads - Machine Learning Model Engineer

Position Summary

Samsung Ads is a rapidly growing advanced advertising technology company that focuses on enabling advertisers to connect with audiences through Samsung devices as they are exposed to digital media. We use the industry’s most comprehensive data to build the world’s most innovative advertising platform. Being part of an international company such as Samsung and doing business worldwide means that we get to work on big, complex projects with stakeholders and teams located globally.

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, and 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 engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a broad 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. A unique learning culture and a creative work atmosphere will welcome you. This is an exciting and unique opportunity to get deeply involved in envisioning, designing, and implementing cutting-edge machine learning products with a fast-growing team.

Location: Mountain View, CA

Role and Responsibilities

Responsibilities

• Lead and deliver production-grade machine learning products from end to end, making Samsung Ads a key player in the mobile ads market.

• Design, develop, and deploy state-of-the-art, scalable machine learning models to achieve various optimization goals, such as ads click-through rate (pCTR), app-install optimization, return on ad spend (ROAS) optimization, retention, etc.

• Research the latest machine learning technologies and industry trends, quickly create prototypes of new ML solutions, and deploy these solutions into production.

• Analyze complex problems involving massive advertising data, identify gaps, and propose and execute technical solutions.

• Work closely with internal ML teams (e.g., ML platform, ML serving, and MLOps teams) to improve our codebase and product health.

• Collaborate with cross-functional partner teams in global settings to deliver new ML features and solutions that achieve business objectives.

• Mentor junior engineers and provide technical guidance.

• Learn quickly and adapt to a fast-paced working environment.

Skills and Qualifications

Experience Requirements

• Master’s or PhD degree in Computer Science or related fields.

• 4+ years of industry experience with a Master’s degree or 2+ years of industry experience with a PhD degree.

• Solid theoretical background in machine learning and/or data mining.

• Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.).

• Hands-on experience with production-grade machine learning solutions.

• 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.

• Proficiency in SQL and databases.

• Strong communication and interpersonal skills to drive cross-functional partnerships.

Preferred Experience Requirements

• Publications in top relevant venues (e.g., TPAMI, NeurIPS, ICML, ICLR, KDD, WWW, SIGIR, AAAI, IJCAI, etc.).

• Basic kno