Applied Scientist, Workplace Health & Safety
About The Position
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. 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.
Requirements
- Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
Nice To Haves
- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
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.
Benefits
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
