Description

　　The People eXperience and Technology (PXT) Central Science Team uses economics, behavioral science, statistics, Machine Learning, and LLMs to proactively identify mechanisms 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 invest in innovation and rapid prototyping of scientific models and software solutions to accelerate informed, accurate, and reliable decision backed by science and data.

　　Our team builds distributed, scalable, and highly available systems that make Machine Learning (ML), LLM, Econometrics/Statistical/Causal models run faster in a CI/CD/CT/CM fashion. We own products ranging from Data Lakes to tools for ML and analytics to web applications and software solutions integrated with other Amazon systems. Robust and user-friendly software solutions, and data security and privacy are our top concerns.

　　We're seeking a Software Development Engineer (SDE) specializing in managing large volumes of data within an MLOps/LLMOps framework. Desired expertise includes familiarity with Machine Learning lifecycle management, encompassing model training, validation, debugging tools, analysis techniques, and enhancing LLM responses through methodologies like RAG. The perfect fit will possess robust software engineering fundamentals, adeptness in system architecture, a strong grasp of machine learning principles, and the capability to construct scalable systems that streamline model deployment. Exposure to ML system design, frameworks, and industry best practices would be advantageous.

　　As a Software Engineer, you'll team up with economists, academic scholars, machine learning experts, and fellow developers throughout the company. Together, you'll craft, experiment, and launch services embodying diverse scientific models. This involves leveraging intricate distributed systems, handling and presenting Big Data, and applying advanced statistical methods. The ideal candidate will thrive on innovation, embrace leading-edge tech, and relish contributing to a high-impact field.

　　This position can be located in Seattle, Bellevue, Austin, or Arlington.

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

　　Arlington, VA, USA | Austin, TX, USA | Bellevue, WA, USA | Seattle, WA, USA | Sunnyvale, 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 existing systems experience

　　Experience programming with at least one software programming language

　　Preferred Qualifications

　　Master’s degree in Computer Science, Computer Engineering or related technical disciplineExperience with Hadoop, MapReduce, Spark, Cassandra or other Big Data processing platformsDatabase design experience (SQL/NoSQL)Experience building complex software systems that have been successfully delivered to customers and had high impactKnowledge of one or more of the following areas: econometrics, statistical modeling, machine learning, data miningBroad ability to take a project from scoping requirements through launch and operations of the projectAmazon 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 $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. 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. Applicants should apply via our internal or external career site.