SDE II, GCCP - Amazon

Description "It's All About the Long Term" is one of the key themes in the very first shareholder letter of Amazon (https://s2.q4cdn.com/299287126/files/doc\_financials/annual/Shareholderletter97.pdf). Long term thinking and decision making , along with customer obsession, has been in Amazon's DNA from the very beginning. We in Customer Forecasting & Valuation team, own the primary decision metrics at Amazon, leveraging causal machine-learning models to predict the long-term impact of customer actions. These metrics drive several launch and investment decisions across Amazon. In order to serve the wide variety of and rapidly evolving decision contexts throughout Amazon, our models have to work with an ever-increasing volume and complexity of data and at the same time provide inferences with reliability and low-latency. Key job responsibilities In this role, you will work in a multidisciplinary team, alongside Research Scientists, Economists and Data-Engineers to build causal machine learning systems at scale. You will use a wide-variety of AWS technologies such as AWS Batch, S3, EC2, EMR, DynamoDb along with Spark, Docker and some Amazon internal frameworks and tools. We are looking for an outstanding individual who combines superb technical, communication, and analytical capabilities with a demonstrated ability to get the right things done quickly and effectively. We would expect the engineer to understand, question and influence the scientists while raising the bar on engineering machine learning systems. 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 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. 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 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.