Machine Learning Model Engineer

Machine Learning Model Engineer – Samsung Ads Position Summary Samsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling advertisers to connect audiences from Samsung devices as they are exposed to digital media, 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 big complex 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, and 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 fast growing team.

ResponsibilitiesLead a team to deliver production-grade machine learning solutions with notable business impact from end to endDesign, develop, and deploy scalable low-latency machine learning productsCommunicate with various stakeholders to understand business requirements, manage expectations, and create effective roadmapsClosely work with machine learning platform and serving teams to deploy and streamline machine learning pipelinesOptimize and scale up existing machine learning productsClosely work with the MLOps team to ensure product healthClosely work with external partners to introduce new machine learning features and toolsResearch the latest machine learning technologies and keep up-to-date with industry trends and developmentsCreate quick prototypes and proof-of-concepts for new featuresDesign and implement next-generation machine learning models with advanced technologies Experience Requirements:Master’s or PhD degree in Computer Science or related fields5+ years of industry experience with a Master’s degree or 3+ years of industry experience with a PhD degreeSolid theoretical background in machine learning and/or data mining Rich hands-on experience with production-grade machine learning solutionsProficiency 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 languagesFamiliarity with data structures, algorithms, and software engineering principlesProficiency in SQL and databasesStrong 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, AAAI, IJCAI, etc.)Basic knowledge about Amazon Web Services (AWS)Experience with the advertising industry and real-time bidding (RTB) ecosystem CALIFORNIA ONLY Compensation for this role is expected to be between $240,000 and $280,000.

Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.