Machine Learning Engineer II, Monetization, Sponsored Products

$129,300 - $223,600/Yr

Amazon - Arlington, VA

Full-time - Mid Level

Arlington, VA

10,001+ employees

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

About the position

The Machine Learning Engineer II position in the Monetization team at Amazon focuses on building auction pricing systems for Sponsored Products. This role involves designing and developing scalable software solutions that support both offline machine-learning pipelines and online serving components. The engineer will collaborate with cross-functional teams to optimize ad pricing strategies, ensuring a balance between short-term revenue growth and long-term marketplace health while maintaining low latency and high performance in distributed systems.

Responsibilities

• Design, develop, and production software to support scalable offline machine-learning pipelines and online serving components.
• Partner with scientists to build pricing systems to test auction monetization policies by running A/B experiments.
• Integrate your solutions with high volume and low latency distributed systems.
• Measure the impact and customer response to your solutions through rapid experimentation.
• Work closely with applied scientists to optimize the performance of machine-learning models, improve the team's machine learning productivity, and advance the technical foundation to empower our science innovation.

Requirements

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience programming with at least one software programming language
• Bachelor's degree in computer science or equivalent

Nice-to-haves

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Master's degree in computer science or equivalent
• Experience in machine learning, data mining, information retrieval, statistics or natural language processing

Benefits

• Equity options
• Sign-on payments
• Full range of medical benefits
• Financial benefits
• Other forms of compensation