Senior Applied Scientist, Special Projects

Senior Applied Scientist, Special Projects Job ID: | Amazon.com Services LLC Job Overview Innovators wanted Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the limits. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you. As a Senior Applied Scientist on our team, you will focus on building state‑of‑the‑art ML models for healthcare. Our team rewards curiosity while maintaining a laser‑focus in bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup‑like environment. At the forefront of both academic and applied research in this product area, you have the opportunity to work together with a diverse and talented team of scientists, engineers, and product managers and collaborate with other teams. This role offers a unique opportunity to work on projects that could fundamentally transform healthcare outcomes. Key Job Responsibilities Design and implement novel AI/ML solutions for complex healthcare challenges Drive advancements in machine learning and data science Balance theoretical knowledge with practical implementation Work closely with customers and partners to understand their requirements Navigate ambiguity and create clarity in early‑stage product development Collaborate with cross‑functional teams while fostering innovation in a collaborative work environment to deliver impactful solutions Establish best practices for ML experimentation, evaluation, development and deployment Partner with leadership to define roadmap and strategic initiatives You’ll need a strong background in AI/ML, proven leadership skills, and the ability to translate complex concepts into actionable plans. You’ll also need to effectively translate research findings into practical solutions. A Day in the Life You will solve real‑world problems by getting and analyzing large amounts of data, generate insights and opportunities, design simulations and experiments, and develop statistical and ML models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the Special Projects organization. You will prepare written and verbal presentations to share insights to audiences of varying levels of technical sophistication. About the Team We represent Amazon's ambitious vision to solve the world's most pressing challenges. We are exploring new approaches to enhance research practices in the healthcare space, leveraging Amazon's scale and technological expertise. We operate with the agility of a startup while backed by Amazon's resources and operational excellence. We're looking for builders who are excited about working on ambitious, undefined problems and are comfortable with ambiguity. Basic Qualifications Experience with programming languages such as Python, Java, C++ Experience with machine learning (ML) tools and methods Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications 5+ years of practical machine learning experience Experience in development or technical support, or experience with training and deploying machine learning systems to solve large‑scale optimizations Experience driving collaborative projects from conception to delivery MS or PhD in Computer Science, Engineering, Machine Learning, Statistics, Biostatistics, or related quantitative field Preferred Qualifications Experience using English communication skills, both written and verbal, to foster seamless interaction with stakeholders at all levels Experience communicating complex ideas to technical and non‑technical audiences Experience collaborating with cross‑functional teams including Marketing, Product Management, Customer Service, Operations, Legal, Finance, and Senior Leadership Experience in deep learning models for healthcare 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 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 $150,400/year in our lowest geographic market up to $260,000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site. Posted: October 23, 2025 (Updated about 2 hours ago) #J-18808-Ljbffr