Software Development Engineer (ML), AGI Foundations
Job ID: 3086502 | Amazon.com Services LLC
Are you passionate about advancing the accuracy and efficiency of Artificial General Intelligence (AGI) systems? If so, you're at the right place! Our team powers the Amazon Nova family of models, and we are looking for a driven and adaptable SDE to join us.
As an SDE on our team, you will leverage your deep technical expertise to build reliable, scalable, and highly performant AI systems for inference and evaluation of Nova models. You will also collaborate closely with Applied Scientists on modeling experiments and prototypes.
We operate at Amazon's large scale with the energy of a nimble start-up. If you have a learner's mindset, enjoy solving challenging problems, and value an inclusive team culture, you will thrive in this role, and we hope to hear from you.
Responsibilities
* Develop and maintain key software components for inference and evaluation for Nova family of models.
* Manage project prioritization, deliverables, and timelines.
* Illuminate trade-offs, educate the team on best practices, and influence technical strategy.
* Collaborate closely with Applied Scientists to investigate and plan experiments, prototype new technology, and evaluate technical feasibility.
* Communicate effectively with both technical and business partners.
* Operate in a dynamic environment to deliver high quality software against competitive schedules with rapidly-evolving priorities.
About the team
We're a group of passionate engineers and scientists dedicated to pushing the boundaries of innovation in the space of generative AI with a focus on inference and evaluation for the Nova family of models.
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
* 3+ years of full software development lifecycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Preferred Qualifications
* Bachelor's degree in computer science or equivalent
* Experience designing, developing, optimizing, and maintaining machine learning systems at scale
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. Depending 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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.
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