Taro Logo

Machine Learning Model Engineer

Samsung Ads is an advanced advertising technology company focusing on enabling brands to connect with Samsung TV audiences using comprehensive data to build smart advertising platforms.
$190,000 - $225,000
Machine Learning
Staff Software Engineer
Hybrid
5,000+ Employees
5+ years of experience
AI · Advertising

Description For Machine Learning Model Engineer

Samsung Ads, a leading advanced advertising technology company, is seeking a Machine Learning Model Engineer to join their Platform Intelligence (PI) team. This role presents an exceptional opportunity to work with Samsung's proprietary data and develop large-scale machine learning products with real-world impact.

The position combines technical leadership with hands-on development, requiring expertise in machine learning, big data technologies, and software engineering. As a Machine Learning Model Engineer, you'll be at the forefront of innovation in advertising technology, working with state-of-the-art ML techniques to improve existing systems and create new revenue streams.

The role demands a strong technical background, with either a Master's degree and 5+ years of experience or a PhD with 3+ years of experience in the industry. You'll need profound knowledge of machine learning theory and practical experience with modern ML frameworks like TensorFlow and PyTorch. The position also requires expertise in big data tools such as Spark, Flink, and Kafka, along with strong programming skills in Python or Go.

What makes this opportunity unique is the chance to work with Samsung's exclusive data sets and collaborate with top-tier researchers and engineers. You'll lead end-to-end machine learning solutions that directly impact the business, from conception to production deployment. The role offers exposure to the latest ML technologies and the opportunity to work on challenging problems in the advertising technology space.

The company offers a competitive compensation package, with salary ranging from $190,000 to $225,000 for candidates in California. Samsung provides a collaborative and innovative work environment, emphasizing continuous learning and professional growth. The position is hybrid-based in Mountain View, CA, offering flexibility while maintaining team collaboration.

This role is ideal for someone who combines technical expertise with leadership abilities, enjoys solving complex problems, and wants to make a significant impact in the advertising technology industry. You'll be joining a global leader in technology, working on projects that shape the future of digital advertising while having access to resources and opportunities for professional development that only a company like Samsung can provide.

Last updated a day 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
  • Deploy and streamline machine learning pipelines
  • Optimize and scale up existing machine learning products
  • Work with MLOps team to ensure product health
  • Research latest machine learning technologies
  • Create prototypes and proof-of-concepts
  • Design and implement next-generation machine learning models

Requirements For Machine Learning Model Engineer

Python
Go
  • Master's or PhD degree in Computer Science or related fields
  • 5+ years industry experience with Master's or 3+ years with PhD
  • Solid theoretical background in machine learning and/or data mining
  • Experience with production-grade machine learning solutions
  • Proficiency in 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

Interested in this job?

Jobs Related To Samsung Ads Machine Learning Model Engineer