Machine Learning Serving Engineer

Technologies we use

About the project

Your responsibilities

• Design and develop highly scalable, real-time machine learning infrastructure with extremely high throughput and low latency conditions, to support the entire advertising business in Samsung.
• Explore and optimize our current 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 platform 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.

Our 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 on testing frameworks for online A/B testing, canary, 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.

Optional

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

What we offer

• Friendly working atmosphere
• Wide range of trainings and a huge support in developing algorithmic skills
• Opportunity to work in multiple projects
• Working with the latest technologies on the market
• Possibility to attend local and foreign conferences
• PC workstation/Laptop + 2 external monitors
• Private medical care (possibility to add family members for free)
• Multisport card
• Life insurance
• Lunch card
• A partial reimbursement of the cost of an English language course
• Possibility to learn Korean for free
• Variety of discounts (Samsung products, theaters, restaurants)
• Unlimited free access to Copernicus Science Center for you and your friends
• Possibility to test new Samsung products
• Monthly integration budget
• Office in Warsaw Spire near metro station
• Attractive relocation package
• Hybrid model – 3 days from the office per week

Benefits