Software Development Engineer, Workplace Health & Safety

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Master's degree in Computer Science, Computer Engineering, or related fields

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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Bellevue - 143,700.00 - 194,400.00 USD annually
As a Software Development Engineer (SDE) in WHS DataTech, you will help design, implement, and scale systems that bring scientific innovations into production. You will work closely with applied scientists and senior engineers to build reliable services for AI-powered applications, including LLM-based solutions, computer vision models, and multi-agent workflows.

This role is ideal for someone who is eager to solve challenging technical problems, learn advanced AI/ML systems, and contribute to applications that directly improve safety across Amazon’s global operations.

Key job responsibilities
• Contribute to the design and development of scalable AI/ML systems, including model training, inference, and workflow orchestration.
• Collaborate with applied scientists and senior engineers to productionize research prototypes.
• Write high-quality, maintainable, and testable code for distributed systems and services.
• Participate in code reviews, design discussions, and system troubleshooting.
• Learn and apply best practices for building reliable, secure, and efficient cloud-based systems.
• Take ownership of features or components and drive them from design through deployment.


About the team
WHS DataTech 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, large language models (LLMs), fine-tuning pipelines, 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.