Senior Machine Learning Engineer, Sponsored Products Innovator

19 hours ago

New York, New York, United States Amazon Full time
About the Role

Amazon is seeking a highly skilled Senior Machine Learning Engineer to join our Sponsored Products Search Relevance team. As a key member of this team, you will be responsible for designing and developing scalable machine learning pipelines and online serving components to improve the relevance of sponsored products search results.

Our team operates on one of the world's largest product catalogs, matching shoppers with products with a high relevance bar and strict latency constraints. We are a team of machine learning scientists and software engineers working on complex solutions to understand customer intent and present them with ads that are not only relevant to their actual shopping experience but also non-obtrusive.

You will 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. What you create is also what you own.

Key Responsibilities
  • Drive the direction of our technical solutions, and work on many different technologies such as deep learning, AWS, Auto ML, real-time ML serving systems.
  • Design, develop, and production software to support scalable offline machine-learning pipelines and online serving components.
  • 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
  • 5+ years of non-internship professional software development experience
  • 5+ years of programming with at least one software programming language experience
  • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience as a mentor, tech lead or leading an engineering team
  • Experience in building large-scale machine-learning infrastructure for online recommendation, ads relevance and/or ranking, personalization, search, or similar area
Preferred Qualifications
  • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's degree in computer science or equivalent
  • Industry experience in software development
  • Experience with machine learning in production
  • Experience with Big Data technologies such as AWS, Hadoop, Spark, Pig, Hive, Pig, Hive, Presto, HBase, etc.
  • Excellent software systems design experience
  • Experience with ML libraries/frameworks such as Tensorflow, AWS Sagemaker, Keras, PyTorch, etc.
  • Coursework or thesis in machine learning, data mining, information retrieval, statistics or natural language processing
  • Advanced knowledge of performance, scalability, enterprise system architecture, and engineering best practices
About Amazon

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

For individuals with disabilities who would like to request an accommodation, please visit

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.

Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

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