Machine Learning Serving Engineer - Samsung Ads Platform Intelligence

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AI Summary

Design and develop highly scalable machine learning infrastructure for Samsung Ads, explore and optimize current serving systems, and collaborate with cross-functional teams.

Key Highlights
Design and develop machine learning infrastructure
Explore and optimize current serving systems
Collaborate with cross-functional teams
Technical Skills Required
Python Go Redis Aerospike Prometheus Grafana MapReduce Spark Flink Kafka Docker Kubernetes TensorFlow PyTorch Spark ML
Benefits & Perks
Private medical care
Multisport card
Life insurance
Lunch card
Partial reimbursement of English language course
Possibility to learn Korean for free
Variety of discounts
Unlimited free access to Copernicus Science Center

Job Description


About our Team

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 tea


m.
Role and Responsibilit

  • iesDesign and develop highly scalable, real-time machine learning infrastructure with extremely high throughput and low latency conditions, to support the entire advertising business in Samsu
  • ng.Explore and optimize our current machine learning serving system to ensure 5 nines uptime (continuous availabilit
  • y).Research the latest machine learning serving technologies and keep up-to-date with industry trends and developmen
  • ts.Experiment with new machine learning serving architecture ideas tailored to our environment and create quick prototypes/ proof-of-concep
  • ts.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 indust
  • ry.Closely work with cross-functional partner teams in global settings to deliver new ML features and solutions and achieve business objectiv
  • es.Mentor junior engineers and provide technical guidan
  • ce.Learn quickly and adapt to a fast-paced working environme


nt.
Skills and Qualificat

  • ions6+ years of industry experience with a Master's degree or 3+ years of industry experience with a PhD deg
  • ree.Extensive industry experience in low latency, high throughput distributed microservi
  • ces.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/Aerospi
  • ke).Familiarity with CI/CD, ETL, big data tools, and mainstream ML libraries (e.g., MapReduce, Spark, Flink, Kafka, Docker, Kubernetes, TensorFlow, PyTorch, Spark ML, et
  • c.).Solid theoretical background in machine learning or data mining and strong conceptual, problem solving, and analytical ski
  • lls.Knowledge on testing frameworks for online A/B testing, canary, blue-green deploym
  • ent.Extensive programming experience in Python, Go or other OOP languages and familiarity with data structures, algorithms and software engineering princip
  • les.Strong communication and interpersonal skills to drive cross-functional partnersh
  • ips.Ability to work in a fast-paced environment, quickly debug issues, provide proof of concept solutions and apply the changes to product


ion.
Nice to

  • have:Knowledge about ML serving technologies, such as Seldon, Triton, ONNX, ONCL, Tens
  • orRT.Knowledge about Amazon Web Services (
  • AWS).Experience with the advertising industry and real-time bidding (RTB) ecosy
  • stem.Full stack experience with Ruby on Rails and R


eact.
We

  • offe
  • rTeam:Friendly working atmo
  • sphereWide range of trainings and a huge support in developing algorithmic
  • skillsOpportunity to work in multiple pr
  • ojectsWorking with the latest technologies on the
  • marketPossibility to attend local and foreign confe
  • rencesEqui
  • pment:PC workstation/Laptop + 2 external mo
  • nitorsBen
  • efits:Private medical care (possibility to add family members for
  • free)Multispor
  • t cardLife ins
  • uranceLunc
  • h cardA partial reimbursement of the cost of an English language
  • coursePossibility to learn Korean fo
  • r freeVariety of discounts (Samsung products, theaters, restau
  • rants)Unlimited free access to Copernicus Science Center for you and your f
  • riendsPossibility to test new Samsung pr
  • oductsMonthly integration
  • budgetLoc
  • ation:Office in Warsaw Spire near metro s
  • tationAttractive relocation p
  • ackageHybrid model – 3 days from the office pe


r week

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