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Description

Join us on a transformative journey to revolutionize how maintenance engineering works at Amazon. As our Senior Research Scientist, you'll be at the forefront of developing Generative AI (GenAI) and Large Language Models (LLMs) that will transform how we approach maintenance operations across our global network. Imagine being part of a team that's shifting the paradigm from reactive to prescriptive maintenance. Within our Decision, Science and Technology (DST) team in Reliability and Maintenance Engineering (RME), you'll lead the development of innovative GenAI solutions that interpret warning signals, identify root causes, and recommend precise corrective actions before issues escalate.

Your expertise in Generative AI and Large Language Models will be instrumental in creating novel solutions that combine Amazon's rich proprietary data with global knowledge bases. You'll work closely with field stakeholders worldwide, ensuring our GenAI platform evolves to meet real-world challenges and delivers tangible results. This isn't just about maintaining equipment – it's about reimagining the entire approach to maintenance engineering. Your work will directly empower technicians with AI-driven insights, transforming complex troubleshooting into streamlined, data-backed decision-making.

If you thrive in fast-paced environments, have a passion for innovative AI solutions, and want to make a lasting impact on global operations, we want to hear from you. Join us in building the future of maintenance engineering through the power of AI.

Key job responsibilities

This role will be pivotal in rethinking how to revolutionize Reliability and Maintenance Engineering leveraging Generative AI (GenAI) and Large Language Models (LLMs).

Key responsibilities include, but are not limited to:

- Lead the design and development of GenAI powered solutions to transform maintenance operations

- Collaborate cross-functionally with scientists, engineers, and product leaders to bring scalable, production-ready GenAI solutions to life.

- Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization.

- Champion a long-term scientific vision for RME (Reliability and Maintenance Engineering) that aligns with customer value, business strategy, and the technological frontier.

- Play a critical role in enhancing the team’s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.

- Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team.

A day in the life

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

1. Medical, Dental, and Vision Coverage

2. Maternity and Parental Leave Options

3. Paid Time Off (PTO)

4. 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

About the team

The mission of our team is to leverage the use of data, science and technology to improve the efficiency of RME maintenance activities, reduce costs and increase safety while creating frictionless customer experiences. We work across different research areas such as Gen AI, Computer Vision, Inventory management, Anomaly detection, Optimization and Natural Language processing (NLP).

Basic Qualifications

- PhD, or Master's degree and 5+ years of quantitative field research experience

- Knowledge of AWS platforms such as S3, Glue, Athena, Sagemaker

- 3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience

Preferred Qualifications

- Experience converting research studies into tangible real-world changes

- Generative AI (GenAI) and Large Language Models (LLMs) experience is a must

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 $143,300/year in our lowest geographic market up to $247,600/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.