Applied Scientist, PXT Central Science

The People eXperience Technology (PXT) Central Science (PXTCS)s mission is to make PXT the most scientific technologically proficient and inclusive HR organization in the world. PXTCS does this by accelerating scientific rigor in business-led initiatives working backwards from employee experience and delivering science-driven products that improve the well-being of and value of work for Amazonians worldwide.

We are seeking an Applied Scientist to build production machine learning systems that solve complex business problems at scale. You will design develop and deploy ML solutions that directly impact millions of users and drive strategic decision-making across the this role you will work on challenging problems spanning predictive modeling computer vision natural language processing recommendation systems and generative AI applications. You will collaborate with cross-functional teams to translate ambiguous business challenges into rigorous technical solutions.

Key job responsibilities
- Apply and adapt state-of-the-art scientific techniques to solve well-defined problems in employee experience using reasonable assumptions data and customer requirements.
- Design develop and implement small-to-medium ML components with input and guidance from senior scientists taking ownership of the code in your components.
- Write secure stable testable maintainable well-reviewed code (at the SDE I bar) to deliver solutions into production that benefit customers and the business.
- Collaborate with cross-functional partners to understand business context and impact and help mentor interns.
- Communicate complex technical concepts to diverse audiences from technical peers to senior leadership


About the team
The People eXperience and Technology Central Science Team (PXTCS) uses economics applied science statistics and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives wellbeing and the value of work to Amazonians. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.

- Masters degree or above in Engineering Computer Science Machine Learning Operations Research Statistics or related fields
- Experience building machine learning models or developing algorithms for business application
- Experience researching about machine learning deep learning NLP computer vision data science
- Experience programming in Java C Python or related language

- PhD in Engineering Computer Science Machine Learning Operations Research Statistics or related fields
- Have publications at top-tier peer-reviewed conferences or journals
- Experience applying computer vision to safety ergonomics or facility-condition imagery

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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 for more information. If the country/region youre applying in isnt 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 CA San Francisco - 157300.00 - 212800.00 USD annually
USA MA Boston - 136000.00 - 184000.00 USD annually
USA VA Arlington - 136000.00 - 184000.00 USD annually
USA WA Bellevue - 136000.00 - 184000.00 USD annually
USA WA Seattle - 136000.00 - 184000.00 USD annually