Senior Applied Scientist, 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 a Senior 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. You’ll work in 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 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.

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
• Translate research findings into practical solutions
• 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

Qualifications

• 5+ years of building machine learning models for business applications
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python, or related language
• Experience with neural deep learning methods and machine learning

Skills

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, TensorFlow, numpy, scipy, etc.
• Experience with large-scale distributed systems such as Hadoop, Spark, etc.
• Experience in deep learning models for healthcare
• Experience designing novel NLP/ML architectures, including pretraining, fine-tuning, and post-training techniques

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.

Pay

USA, WA, Seattle - $167,100.00 - $226,100.00 USD annually. 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.

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.