Applied Scientist II, Special Projects

About the role

This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the limits. As an Applied Scientist, you will focus on building state-of-the-art ML models for healthcare, driving innovation at scale to address big challenges in the world. The team rewards curiosity while maintaining a laser-focus on bringing products to market.

This role offers a unique opportunity to work on projects that could fundamentally transform healthcare outcomes. You will collaborate with a diverse and talented team of scientists, engineers, and product managers, and work at the forefront of both academic and applied research in this product area.

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 to deliver impactful solutions
• Establish best practices for ML experimentation, evaluation, development, and deployment
• Partner with leadership to define roadmap and strategic initiatives
• Solve real-world problems by analyzing large amounts of data, generating insights, designing simulations and experiments, and developing statistical and ML models
• Prepare written and verbal presentations to share insights with audiences of varying technical sophistication

Requirements

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML, or related field experience
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python, or related language
• Experience solving business problems through machine learning, data mining, and statistical algorithms
• Experience designing experiments and performing statistical analysis of results
• Strong background in AI/ML, proven leadership skills, and the ability to translate complex concepts into actionable plans
• Ability to translate research findings into practical solutions

Preferred Qualifications

• Experience using Unix/Linux
• Experience in professional software development
• Experience in several of the following areas: machine learning, statistics, deep learning, natural language processing, or information retrieval
• Experience applying causal inference techniques in artificial intelligence and machine learning systems

About the team

We represent Amazon's ambitious vision to solve the world's most pressing challenges. The team explores 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.

Pay

Base salary range: $142,800.00 - $193,200.00 USD annually (Seattle, WA). Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on experience, qualifications, and location.

Benefits

• Comprehensive health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and optional supplemental life plans)
• Employee Assistance Program (EAP) and Mental Health Support
• Medical Advice Line
• Flexible Spending Accounts
• Adoption and Surrogacy Reimbursement coverage
• 401(k) matching
• Paid time off
• Parental leave

Learn more about our benefits at amazon.jobs/en/benefits.