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Job Details
Posted date: Jun 20, 2025
Location: Bellevue, WA
Estimated salary: $206,400
Range: $151,300 - $261,500
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 fashion. We own products ranging from Data Lakes to tools for science experimentation, MLOps, GenAIOps, 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/GenAIOps 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, Prompt Engineering. 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 and GenAI application building. Exposure to ML system design, frameworks, GenAI application design/development 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 Bellevue, WA.
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
Extended 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 an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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 $151,300/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.
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