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Amazon.com Looking for SDE II – Customer Forecasting & Valuation at Portola Valley, CA Full Time
Amazon.com is looking for SDE II – Customer Forecasting & Valuation in Portola Valley, CA.
This local job opportunity with ID 1927795463 is live since 2022-06-19 01:46:01.
Description
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.
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.
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.
Basic Qualifications
This local job opportunity with ID 1927795463 is live since 2022-06-19 01:46:01.
Description
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.
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.
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.
Basic Qualifications
- Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
- 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
- 2+ years of non-internship professional software development experience
Preferred Qualifications
- Master’s degree in Computer Science, Computer Engineering or related field
- Excellence in technical communication with peers and non-technical cohorts
- Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Basic Qualifications
- Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
- 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
- 2+ years of non-internship professional software development experience
Preferred Qualifications
- Master’s degree in Computer Science, Computer Engineering or related field
- Excellence in technical communication with peers and non-technical cohorts
- Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
