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Machine Learning Model Engineer

Samsung Electronics is a global leader in technology, transforming the worlds of TVs, smartphones, wearable devices, tablets, digital appliances, and network systems.
$240,000 - $280,000
Machine Learning
Senior Software Engineer
Hybrid
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS · Advertising

Description For Machine Learning Model Engineer

Samsung Ads is seeking a Machine Learning Model Engineer to join their advanced advertising technology team. This role sits within Samsung Ads, a rapidly growing division focused on connecting brands with Samsung TV audiences through data-driven advertising solutions. The position offers a unique opportunity to work with Samsung's proprietary data and develop large-scale machine learning products with real-world impact.

As a Machine Learning Model Engineer in the Platform Intelligence (PI) team, you'll be at the forefront of applying cutting-edge ML techniques to improve existing systems and create new revenue streams. The role combines technical leadership with hands-on development, requiring both deep ML expertise and strong engineering capabilities. You'll work alongside talented engineers and researchers, contributing to exciting projects that leverage state-of-the-art technologies.

The position offers competitive compensation ranging from $240,000 to $280,000, reflecting the senior nature of the role and its impact on Samsung's advertising technology platform. You'll be based in Mountain View, CA, with a hybrid work arrangement, allowing for both collaborative in-person work and flexible remote options.

This is an ideal opportunity for an experienced ML engineer who wants to make a significant impact in the advertising technology space while working with one of the world's leading technology companies. The role offers exposure to unique challenges in the advertising industry, access to vast amounts of data, and the chance to work on problems that affect millions of users worldwide.

Samsung provides a collaborative and innovative work environment, emphasizing continuous learning and professional growth. The company is committed to diversity and inclusion, offering equal opportunities and fostering an inclusive culture where everyone can contribute their best work.

Last updated 12 days ago

Responsibilities For Machine Learning Model Engineer

  • Lead a team to deliver production-grade machine learning solutions
  • Design, develop, and deploy scalable low-latency machine learning products
  • Communicate with stakeholders to understand business requirements
  • Work with ML platform and serving teams to deploy ML pipelines
  • Optimize and scale up existing machine learning products
  • Work with MLOps team to ensure product health
  • Research latest machine learning technologies
  • Create quick prototypes and proof-of-concepts
  • Design and implement next-generation machine learning models

Requirements For Machine Learning Model Engineer

Python
Go
Kafka
  • Master's or PhD degree in Computer Science or related fields
  • 5+ years of industry experience with Master's or 3+ years with PhD
  • Solid theoretical background in machine learning and/or data mining
  • Rich hands-on experience with production-grade machine learning solutions
  • Proficiency in mainstream ML libraries (TensorFlow, PyTorch, Spark ML)
  • Experience with big data tools (MapReduce, Spark, Flink, Kafka)
  • Extensive programming experience in Python, Go, or other OOP languages
  • Proficiency in SQL and databases
  • Strong communication and interpersonal skills

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