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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.
$240,000 - $280,000
Machine Learning
Staff Software Engineer
Hybrid
5,000+ Employees
5+ years of experience
AI · Advertising
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Description For Machine Learning Model Engineer

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

The position involves leading a team to deliver production-grade machine learning solutions while working closely with talented engineers and researchers. The role combines technical leadership, hands-on development, and cross-functional collaboration to drive innovation in advertising technology through machine learning.

As a Machine Learning Model Engineer, you'll be responsible for designing and implementing scalable, low-latency machine learning products, optimizing existing systems, and exploring cutting-edge technologies. The role requires strong technical expertise in machine learning, big data technologies, and programming, combined with excellent communication skills to work effectively with various stakeholders.

The position offers competitive compensation ($240,000-$280,000) and comprehensive benefits including medical, dental, vision, life insurance, 401(k), and educational assistance. Samsung provides a collaborative environment where you can work on challenging projects with global impact while having access to unique datasets and advanced technologies.

This is an excellent opportunity for experienced machine learning professionals who want to work at the intersection of advertising technology and artificial intelligence, with the backing of a global technology leader. The role offers significant growth potential and the chance to influence the future of advertising technology through machine learning innovation.

Samsung Ads' position as part of Samsung Electronics provides stability and resources while maintaining an entrepreneurial spirit. The company's focus on problem-solving and innovation makes this an ideal role for someone looking to make a significant impact in the advertising technology space while working with cutting-edge machine learning technologies.

Last updated 17 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
  • Work with external partners on new ML features and tools
  • 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
Kubernetes
  • 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
  • Familiarity with data structures, algorithms, and software engineering principles
  • Proficiency in SQL and databases
  • Strong communication and interpersonal skills

Benefits For Machine Learning Model Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Education Budget
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • 401k
  • Employee Purchase Program
  • Tuition Assistance
  • Paid Time Off
  • Student Loan Program
  • Wellness Incentives

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