Description

Amazon’s product search indexes hundreds of millions of products and serves hundreds of millions of customers worldwide. We are looking for a product engineer with experience in machine learning and deep learning systems to join our search team as we look to understand the semantic meanings of customer queries and assist customers to fulfill their shopping missions. This is an opportunity to develop cutting-edge machine learning (ML) algorithms to perform Natural Language Understanding and build a top-tier distributed service to serve the algorithms at Amazon scale.

As an engineer on the team, you will define, design and implement key initiatives in building deep learning systems that power search and many other downstream applications; work closely with other applied scientists, engineers, engineering and product managers to drive new enhancements to the system; design and build a machine learning platform that powers deep learning; work with various AWS technologies and distributed computing technologies; build a robust, scalable and an extensible platform which supports large scale data analyses, model development, training, validation and implementation.

You will love this role because you will: (1) work on a world-class Query Understanding service that is an important component of Amazon Product Search; (2) learn state-of-the-art AWS, natural language processing, and machine learning technologies and figure out creative ways to make these work at production scale; (3) have the opportunity to work with a dynamic team to define and develop innovative solutions that will have a direct impact on Amazon product search; (4) closely interact with applied scientists to apply research to production and publish papers in top conferences; (5) work with large data sets to analyze and improve the search experience using various AWS technologies; (6) have access to Amazon's vast technical resources to get the job done.

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 existing systems experience

• Experience programming with at least one software programming language

• Experience in machine learning, data mining, information retrieval, statistics or natural language processing

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 other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/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. 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. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.