Applied Scientist, Workplace Health & Safety

Are you passionate about tackling challenging problems in the realm of safety and effecting change for millions of Amazon Associates globally? Join our WHS-datatech team as an Applied Scientist and elevate your career to new heights! We are dedicated to creating cutting-edge software solutions utilizing computer vision, wearable technology, and machine learning models to enhance the well-being and safety of our workforce on a large scale.
In this role as an Applied Scientist specializing in LLM (Large Language Model) and computer vision, you will be at the forefront of designing and implementing critical product features. Your expertise in these areas will be instrumental in shaping our strategic direction by defining feature requirements, influencing system architecture decisions, and championing best practices to deliver a top-tier product. You will play a key role in developing software solutions from the ground up, optimizing our internal processes, and collaborating with external partners. The Applied Scientist position requires experience in LLM and computer vision, technical acumen, problem-solving experience, effective communication skills, and a desire to drive impactful technical advancements.

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:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

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!

Key job 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.- 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 CS, CE, or related technical field.
- A formal PhD degree in CS, CE, or related technical field 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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.