Machine Learning Engineer, Amazon

The "Detail Page Sourcing and Relevance Team" selects the Sponsored Products shown on Amazon product pages and ensures that the advertisements are relevant to the shopper's journey. The team is seeking a Machine Learning Engineer (MLE) to contribute to the design of our Machine Learning infrastructure, and to construct the technical foundation to enable scientific innovation and boost the team’s productivity. The successful candidate will work closely with Applied Scientists to optimize the performance of machine learning models, as well as design, implement, test, and support the release of scalable and low latency machine learning components into production. If you join us, you will have ownership of the solutions you create. These solutions will drive increases in coverage, engagement and conversion metrics, which will directly affect our customers’ shopping experiences. This is a highly visible role across multiple organizations where you have the chance to make a significant impact. Key job responsibilities: - Enhance the infrastructure for scientists to prototype, train, and research Machine Learning solutions for sourcing and relevance issues. - Design and implement ETL jobs for feature generation and model training on very large data sets. - Develop and maintain services supporting Machine Learning models in production. - Enable online inference through low latency and high throughput APIs. - Devise caching solutions that support features and models in production. A day in the life: - Hands-on design, development, implementation, and maintenance of Machine Learning models and pipelines in production for batch and real-time use cases. - Enable fast model research, development and low-latency serving. - Work collaboratively with engineers, scientists, product managers, and leadership. We are open to hiring candidates to work out of one of the following locations: Palo Alto, CA, USA Basic Qualifications: - 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 current systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ 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 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 any other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Our compensation reflects labor costs across several US geographic markets. The base pay for this position ranges from $115,000/year in our lowest geographic market up to $223,600/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. Depending on the offered position, 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. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.