Senior Machine Learning Engineer, Sponsored Products Demand Utilization

$151,300 - $261,500/Yr

Amazon - Seattle, WA

Full-time - Senior

Seattle, WA

10,001+ employees

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Senior Machine Learning Engineer for Sponsored Products Demand Utilization at Amazon Advertising plays a crucial role in developing and optimizing advertising products that enhance customer discovery and sales. This position involves working with large datasets and complex algorithms to ensure relevant ads are served efficiently to customers, directly impacting their shopping experience and the revenue generated for sellers. The role requires collaboration with applied scientists and software engineers to innovate and improve machine learning solutions in a fast-paced environment.

Responsibilities

• Work closely with applied scientists to drive the direction of technical solutions for deep learning and large models.
• Design, develop, and production software to support scalable offline machine-learning pipelines.
• Build services to handle billions of requests per day while maintaining response latencies in milliseconds.
• Troubleshoot and support high volume and low latency distributed systems.
• Create solutions that drive step increases in coverage of sponsored ads across the retail website.

Requirements

• 5+ years of non-internship professional software development experience.
• 5+ years of programming experience with at least one software programming language.
• 5+ years of experience leading design or architecture of new and existing systems.
• Experience as a mentor, tech lead, or leading an engineering team.
• Experience with common machine learning techniques such as pre-processing data, training, and evaluation of classification and regression models.
• Experience in building large-scale machine-learning infrastructure for online recommendation, ads relevance, and/or ranking.

Nice-to-haves

• 5+ years of full software development life cycle experience, including coding standards and code reviews.
• Industry experience in software development.
• Experience with machine learning in production.
• Excellent software systems design experience.
• Experience with ML libraries/frameworks such as Tensorflow, AWS Sagemaker, Keras, PyTorch.
• Experience with system programming languages like C, C++, or Rust.
• Coursework or thesis in machine learning, data mining, information retrieval, statistics, or natural language processing.
• Advanced knowledge of performance, scalability, and enterprise system architecture.

Benefits

• Competitive salary based on market location and experience.
• Equity and sign-on payments as part of total compensation package.
• Full range of medical, financial, and other benefits.