Applied Scientist, Workplace Health & Safety

Description

Are you driven by the challenge of solving complex problems that directly impact the safety and well‑being of millions of Amazon Associates worldwide? Do you want to push the boundaries of AI to build innovative solutions that make workplaces safer and more efficient? If so, we invite you to join our WHS Data Tech team as an Applied Scientist and take your career to the next level!

At WHS Data Tech, we leverage Large Language Models (LLMs), Computer Vision, and AI‑driven innovations to develop industry‑leading solutions that proactively enhance workplace safety. Our work spans real‑time risk assessment, predictive analytics, and AI‑powered insights, all aimed at creating a safer work environment at scale.

As an Applied Scientist specializing in LLMs and Computer Vision, you will play a pivotal role in shaping our next‑generation safety solutions. You’ll be at the forefront of innovation, designing and implementing AI‑powered features that redefine workplace safety. Your work will drive strategic decisions, optimize system architecture, and influence best practices, ensuring our technology remains industry‑leading.

• Apply LLM model to analyze complex unstructured datasets and extract meaningful insights.

• Collaborate with software engineers to implement and deploy machine learning (LLM or CV) solutions.

• Conduct experiments and evaluate model performance, iterating and improving as needed.

• Stay up‑to‑date with the latest advancements in machine learning and related fields.

• Collaborate with cross‑functional teams to understand business needs and identify areas for application of machine learning.

• Present findings and recommendations to stakeholders and contribute to the overall research and development strategy.

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:

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!

WHS Data Tech is a multidisciplinary team of scientists and engineers dedicated to building AI‑powered solutions that improve workplace safety across Amazon. We work at the intersection of large‑scale data, advanced machine learning, and computer vision, delivering innovations that enhance decision‑making, streamline operations, and protect millions of associates worldwide. Our collaborative culture emphasizes scientific rigor, engineering excellence, and a strong mission focus on creating safer, more efficient workplaces.

• 3+ years of building models for business application experience

• Experience in patents or publications at top‑tier peer‑reviewed conferences or journals

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

• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high‑performance computing

• PhD degree in Computer Science or Computer Engineering

• A formal PhD degree in Computer Science or Computer Engineering or can be replaced by 5 years of relevant experience on top of a MSc, and 7 years on top of a BSc.

• Experience using Unix/Linux

• Experience in professional software development

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…