In this role, you will:
- Build distributed, scalable, and highly available systems that make Machine Learning (ML), Large Language Models (LLMs), and statistical models run faster in a CI/CD fashion
- 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
- Leverage intricate distributed systems, handle and present Big Data, and apply advanced statistical methods
- Collaborate with economists, academic scholars, machine learning experts, and fellow developers to craft, experiment, and launch services embodying diverse scientific models
The ideal candidate will have:
- Robust software engineering fundamentals and adeptness in system architecture
- Strong grasp of machine learning principles, including model training, validation, debugging tools, and analysis techniques
- Familiarity with Machine Learning lifecycle management and enhancing LLM responses through methodologies like Retrieval Augmented Generation (RAG) and Prompt Engineering
- Exposure to ML system design, frameworks, GenAI application design/development, and industry best practices
- Passion for innovation, leading-edge technology, and contributing to a high-impact field
This position can be located in Bellevue, Seattle, or Sunnyvale.
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.