Machine Learning Engineer II, StoreGen
Amazon
DESCRIPTION
Join our Generative AI focus team to revolutionize Software Development at Amazon
Are you ready to be part of a team that's redefining the future of software engineering? Our team is Amazon's ambitious initiative to pioneer AI development practices that will fundamentally transform how we build software at scale.
🎯 Our Mission
We're creating the next generation of development tools and practices that will deliver unprecedented efficiency gains through AI-powered automation, intelligent code generation, and advanced developer experiences.
💫 What Makes Us Different
* Ground-floor opportunity to shape the future of software development
* Direct impact on Amazon's global engineering productivity
* Working with the latest AI technologies and large language models
* Culture of experimentation and innovative thinking
🔍 What We're Looking For
* Familiar with the life cycle of a ML model. I.e., trained, customized, tuned and validated ML models that are leveraged in a science application.
* Fluent with AWS services (Bedrock, Sagemaker, Lambda, Kendra, OpenSearch, etc.)
💡 What You'll Do
* Work closely with Applied Scientists to establish newly defined benchmark dataset with human-in-the-loop mechanism for continuous evaluation and optimization.
* Responsible for the development and maintenance of key platforms needed for developing, evaluating LLM-based agents for applications in the domain of the software development.
* Design and implement responsive web interfaces while architecting and deploying intelligent agents for automated task execution.
* Contribute to the StoreGen foundation platform with the production ready solutions.
🌱 Impact
Your work will directly influence how Amazon's vast engineering organization builds software, enabling faster, more reliable software delivery.
Join us in writing the next chapter of software engineering history. The future of development is AI, and it starts here.
and yes, what you just read was written in 15 seconds using AI...
#AmazonTech #AIInnovation #SoftwareEngineering #FutureOfTech
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
- Strong understanding of LLMs and agentic workflows
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 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 $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.