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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 the world's smartest advertising platform.
$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 is seeking a Machine Learning Model Engineer to join their Platform Intelligence (PI) team. This role offers a unique opportunity to work with Samsung's proprietary data and develop large-scale machine learning products with real-world impact. The position is based in Mountain View, CA, with a hybrid work arrangement.

As a Machine Learning Model Engineer, you'll be at the forefront of developing and implementing cutting-edge machine learning solutions for the advertising technology industry. You'll work with a talented engineering team and top researchers, having access to unique Samsung proprietary data and state-of-the-art technologies.

The role requires a strong background in machine learning, with either a Master's degree and 5+ years of experience or a PhD with 3+ years of experience. You'll be responsible for leading teams, designing and deploying scalable ML solutions, and working across various stakeholders to deliver business impact. The position offers competitive compensation ranging from $190,000 to $225,000.

Samsung Ads provides an entrepreneurial and collaborative environment where you can work on challenging projects with global impact. The company's focus on innovation in advertising technology, combined with Samsung's international presence, creates an excellent opportunity for professional growth and development.

This role is ideal for someone who combines strong technical skills in machine learning, programming, and big data with excellent communication and leadership abilities. You'll be working with technologies like TensorFlow, PyTorch, Spark ML, and various big data tools, while also having the opportunity to research and implement next-generation machine learning models.

The position offers the chance to work on meaningful projects that directly impact Samsung's advertising technology platform, with the backing of a global technology leader. If you're passionate about machine learning, enjoy solving complex problems, and want to work in a fast-paced, innovative environment, this role provides an excellent opportunity to advance your career while making a significant impact in the ad-tech industry.

Last updated 18 hours 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 machine learning 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
Kubernetes
  • 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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