Applied Scientist, PXT 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  will design, develop, and deploy ML solutions that directly impact millions of users and drive strategic decision-making across the organization. In 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.

• 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

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.

• Master's 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…