Samsung Ads - Machine Learning Serving Engineer

Position Summary

Role and Responsibilities

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 at 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 serving 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.

Location: Mountain View, CA

Responsibilities

• Design and develop highly scalable, real-time machine learning infrastructure with extremely high throughput and low latency conditions to support Samsung's entire advertising business.

• Explore and optimize our machine learning serving system to ensure 5 nines uptime (continuous availability).

• Research the latest machine learning serving technologies and keep up-to-date with industry trends and developments.

• Experiment with new machine learning serving architecture ideas tailored to our environment and create quick prototypes/ proof-of-concepts.

• Collaborate with different internal ML teams (e.g., model engineers, ML platform, and MLOps) to build a world-class ML infra for advertising platforms in the industry.

• Closely work with cross-functional partner teams in global settings to deliver new ML features and solutions and 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

• 6+ years of industry experience with a Master's degree or 3+ years of industry experience with a PhD degree.

• Extensive industry experience in low latency, high throughput distributed microservices.

• Extensive experience with machine learning serving system design, architecture, real time monitoring/alerting components (e.g., Prometheus/ Grafana), and distributed cache systems (e.g., Redis/Aerospike).

• Familiarity with CI/CD, ETL, big data tools, and mainstream ML libraries (e.g., MapReduce, Spark, Flink, Kafka, Docker, Kubernetes, TensorFlow, PyTorch, Spark ML, etc.).

• Solid theoretical background in machine learning or data mining and strong conceptual, problem solving, and analytical skills.

• Knowledge of testing frameworks for online A/B testing, canary, and blue-green deployment.

• Extensive programming experience in Python, Go, or other OOP languages and familiarity with data structures, algorithms, and software engineering principles.

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

• Ability to work in a fast-paced environment, quickly debug issues, provide proof of concept solutions, and apply the changes to production.

Preferred Experience Requirements

• Knowledge about ML serving technologies, such as Seldon, Triton, ONNX, ONCL, and TensorRT.

• Knowledge about Amazon Web Services (AWS).

• Experience with the advertising industry and real-time bidding (RTB) ecosystem.

• Full stack experience with Ruby on Rails and React.

The salary range for this role, for candidates based in California, is expected to be between $230,000 and $280,000.  Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.

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