Description

The People eXperience and Technology Cantral Science team uses economics, behavioral science, statistics, and machine learning to proactively identify mechanism and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team which combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.

We are looking for a senior software engineer to create distributed systems and platforms to transform and model data, and create tools and machine learning pipelines to make machine learning, statistical and econometrics models run faster.

As a Software Engineer, you will collaborate with economists, academic scholars, machine learning scientists and other SDEs across the company to develop, test, and deploy services that implement a wide range of econometric and machine learning models. This requires the use of sophisticated distributed systems, the processing and visualization of Big Data and application of advanced statistical techniques. A successful candidate will have a passion for innovation, interest in cutting-edge technology, and excitement about working in a high-impact domain.

We are open to hiring candidates to work out of one of the following locations:

Austin, TX, USA | Bellevue, WA, USA | Seattle, WA, USA | Sunnyvale, CA, USA

Basic Qualifications

• 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

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

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 https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $134,500/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. 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.