Amazon has announced an opening for an applied scientist role in machine learning applications within its People eXperience Technology team, based in Chicago, Illinois. The position entails leading scientific initiatives, collaborating across various disciplines, and transforming business needs into actionable solutions.
According to Amazon Jobs, the People eXperience Technology Central Science (PXTCS) team is an interdisciplinary group that utilizes economics, behavioral science, statistics, and machine learning to enhance employee well-being and improve the company's capacity to deliver value to customers. The team collaborates closely with Human Resources across Amazon to establish PXT as a scientifically-driven HR organization focused on developing data-backed products and process improvements.
The applied scientist will work alongside business leaders, scientists, and economists to convert business requirements into tangible, scalable solutions. Responsibilities include designing and developing machine learning and econometric models, testing and deploying them into production, and partnering with engineering teams for effective implementation. This high-visibility role offers opportunities to influence the employee experience by working with cross-disciplinary teams and devising solutions for large-scale challenges.
Candidates are expected to hold a Master's degree in machine learning, computer science, or related fields with at least three years of experience in applying machine learning to complex problems. Required skills include deep learning expertise and proficiency in Python. Preferred qualifications comprise a Ph.D., experience with cloud-based ML pipelines, and knowledge of generative AI. Compensation ranges from $136,000 to $222,200 annually based on geographic market and experience.
Amazon offers a variety of services including online shopping, delivery of fresh produce, media distribution through devices like Alexa and Fire TV, as well as cloud solutions via Amazon Web Services (AWS). Its operations encompass logistics and customer service while also providing entertainment through platforms such as Amazon Originals, Prime Video, and Audible.