Software Development Engineer, Workplace Health & Safety

AI in this role

Design and scale AI-powered systems and ML applications, including LLMs and computer vision models, for workplace safety.

pytorchtensorflowpythonawslangchain

fine-tuningcomputer-visionsoftware-developmentmachine-learningllmdistributed-systems

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.

Basic qualifications

- 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

Preferred qualifications

- 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

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.

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

How we rate this

Software Development Engineer, Workplace Health & Safety at Amazon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Fine TuningComputer VisionSoftware DevelopmentMachine LearningLLMDistributed SystemsPyTorchTensorFlow

Questions you could be asked

Walk me through fine-tuning a model: what data did you use, and how did you check the result?
Walk me through a computer vision problem you solved, from raw data to a deployed model.
Tell me about a project where software development was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where llm was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Fine Tuning, Computer Vision, Software Development, Machine Learning, and LLM. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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