"Alerted.org

Description

The Builder Studio team is looking for a talented Senior Applied Scientist with expertise in Large Language Models (LLMs) and multimodal AI systems. You will develop algorithms and techniques to address our core challenges around data quality, AI agent orchestration with appropriate guardrails, and optimizing resource-intensive AI workloads across infrastructure stacks.

Key job responsibilities

As a Senior Applied Scientist, you will research and develop AI techniques to enhance knowledge retrieval, visualization, and representation. You will design systems that reduce errors in AI outputs and build frameworks to evaluate model performance. The role involves creating methods for efficient AI deployment across infrastructure stacks, developing agent orchestration mechanisms with appropriate guardrails, and implementing resource optimization algorithms for complex AI workloads. You will collaborate with engineering teams to transition research innovations into production systems that deliver real impact.

About the team

The Builder Studio team is building a next-generation platform that combines advanced knowledge retrieval with AI orchestration to improve developer workflows. Our team is tackling three key challenges: establishing data quality baselines and metrics, orchestrating and managing interactions with required guardrails between specialized AI agents deployed across different stacks of the infrastructure, and maintaining hosting and scaling demands of resource-intensive AI workloads and their associated computational needs. We bring together specialists in machine learning, distributed systems, and developer experience to build scalable solutions that make AI more accessible, reliable, and useful for builders across the organization. We focus on transforming research techniques into robust, production-ready systems that deliver measurable impact.

Basic Qualifications

- 3+ years of building machine learning models for business application experience

- PhD, or Master's degree and 6+ years of applied research experience

- Experience programming in Java, C++, Python or related language

- Experience with neural deep learning methods and machine learning

Preferred Qualifications

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.

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 $150,400/year in our lowest geographic market up to $260,000/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.