Staff - Machine Learning Model Engineer jobs in United States
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Samsung Ads · 2 days ago

Staff - Machine Learning Model Engineer

Samsung Ads is an advanced advertising technology company focused on connecting advertisers with audiences through innovative digital media solutions. The role involves leading the development and deployment of large-scale machine learning products to enhance the advertising platform's capabilities and drive business objectives.

Marketing & Advertising

Responsibilities

Lead and deliver production-grade machine learning products from end to end to make Samsung Ads a key player in the mobile ads market
Design, develop and deploy state-of-the-art and scalable machine learning models to achieve different optimization goals, such as ads click (pCTR), app-install optimization, ROAS optimization, retention, etc
Research the latest machine learning technologies with industry trends, create prototypes of new ML solutions quickly, and deploy the solution into production
Analyze complex problems with massive advertising data, identify gaps, and propose and execute technical proposals
Closely work with different internal ML teams (e.g., ML platform, ML serving, and MLOps teams) to improve our codebase and product health
Closely work with cross-functional partner teams in global settings to deliver new ML features and solutions and achieve business objectives
Mentor junior engineers and provide technical guidance
Learn quickly and adapt to a fast-paced working environment

Qualification

Machine LearningPythonTensorFlowBig Data ToolsSQLData StructuresAlgorithmsAWS KnowledgeCommunication SkillsInterpersonal Skills

Required

Master's or PhD degree in Computer Science or related fields
8+ years of industry experience with a Master's degree or 6+ years of industry experience with a PhD degree
Solid theoretical background in machine learning and/or data mining
Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.)
Hands-on experience with production-grade machine learning solutions
Experience with mainstream big data tools (e.g., MapReduce, Spark, Flink, Kafka, etc.)
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 to drive cross-functional partnerships

Preferred

Publications in top relevant venues (e.g., TPAMI, NeurIPS, ICML, ICLR, KDD, WWW, SIGIR, AAAI, IJCAI, etc.)
Basic knowledge about Amazon Web Services (AWS)
Experience with the advertising industry and real-time bidding (RTB) ecosystem

Company

Samsung Ads

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Samsung Ads helps consumers discover relevant content and brands across Smart TVs, mobile, and desktop.

Funding

Current Stage
Late Stage

Leadership Team

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Kimberly Lauterbach
Head Of Business Operations
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Company data provided by crunchbase