Amazon's Artificial General Intelligence (AGI) Team is responsibly advancing the company’s generative AI technologies, including Amazon’s most expansive multimodal Large Language Models. We are looking for a motivated Machine Learning Engineer that will join our mission by building highly scalable, resilient, and performant training code, systems and infrastructure. You will work in close collaboration with AGI engineers, applied scientists, and AWS to relentlessly pushing the limit to accelerate our mission in delivering state-of-the-art AGI models for Amazon businesses and customers.

Key job responsibilities
- Collaborate closely with applied scientists on machine learning tasks ranging from ML code & data management to training and deployment of ML models.
- Research and Develop stability and optimizations to continuously improve training KPIs, such as uptime, throughput, and good put.
- Collaborate with software engineering teams to operationalize and scale training improvements across experimentation and production workloads.


About the team
As part of the Amazon General Intelligence team, AGI Modeling Services provides training capabilities and services to accelerate invention of SoTA models across all modalities and their derivatives. These services include high-performance ML infrastructure, modeling toolkits, and optimized MLOps workflows for AGI scientists to build, train and release their models. We need your help to build the advancements required to make that a reality.

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.

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.