Taro Logo

Machine Learning Model Engineer

Samsung Electronics is a global leader in technology, opening new possibilities for people everywhere through relentless innovation in TVs, smartphones, wearable devices, tablets, digital appliances, and network systems.
$240,000 - $280,000
Machine Learning
Staff Software Engineer
Hybrid
5,000+ Employees
5+ years of experience
AI · Advertising

Job Description

Samsung Ads is seeking a Machine Learning Model Engineer to join their Platform Intelligence (PI) team. This role sits at the intersection of advanced advertising technology and machine learning, focusing on enabling brands to connect with Samsung TV audiences through data-driven solutions. As part of Samsung Ads' rapidly growing advertising technology division, you'll work on challenging projects with global impact, leveraging Samsung's proprietary data to develop and deploy large-scale machine learning products.

The position offers a unique opportunity to work with cutting-edge machine learning technologies in the advertising industry, where you'll be responsible for leading a team in delivering production-grade ML solutions. You'll collaborate with talented engineers and researchers, working on everything from model development to deployment while ensuring scalability and low latency in production environments.

The ideal candidate brings a strong academic background (Master's or PhD) combined with significant industry experience in machine learning. You should be proficient in mainstream ML libraries, big data tools, and programming languages like Python and Go. The role requires both technical expertise and leadership skills, as you'll be communicating with stakeholders, managing expectations, and creating effective roadmaps.

Working at Samsung Ads offers one of the best environments in the industry to grow and achieve, with a culture grounded in entrepreneurial spirit and collaboration. The company provides competitive compensation ($240,000-$280,000) and the opportunity to work in a hybrid setting from their Mountain View office. This is an excellent opportunity for someone looking to make a significant impact in the intersection of advertising technology and machine learning while working with a world-class organization.

Last updated 3 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
  • 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

Benefits For Machine Learning Model Engineer

  • Competitive Salary

Related Jobs