Applied Scientist, Workplace Health & Safety

Amazon
USA, TN, Nashville / USA, WA, Bellevue2026-03-26ONSITE

About the job

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 DataTech team as an Applied Scientist and take your career to the next level! At WHS DataTech, 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.

Responsibilities

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.

Qualifications

Minimum

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

Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse

Preferred

Experience implementing algorithms using both toolkits and self-developed code

Have publications at top-tier peer-reviewed conferences or journals