Senior Applied Scientist, Special Projects

Amazon; San Francisco (CA); On-site; USD 167,000 - 226,000; Full time

Benefits offered by this job

Health insurance

RSUs

Paid time off

Job summary

Amazon seeks a Senior Applied Scientist for Special Projects to build state-of-the-art ML models for healthcare. You will work with a diverse team of scientists, engineers, and product managers in an entrepreneurial environment, delivering innovative solutions at scale.

The role emphasizes translating research into practical products and collaborating across teams to address healthcare challenges. The position offers opportunities to influence roadmap and strategic initiatives within the Special

Qualifications

• PhD or MS with 6+ years applied research experience.
• Experience building ML models for healthcare or related domain.
• Proficiency in programming languages such as Java, C++, Python.
• Experience with deep learning methods and ML techniques.

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.

Skills

Machine Learning

Leadership

Python

Java/C++

Education

PhD or MS with 6+ years applied research

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Job description

Senior Applied Scientist, Special Projects

Job ID: 10492852 | Amazon.com Services LLC

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

• 5+ years of building machine learning models for business application experience


• 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

Preferred Qualifications

• 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.


• Experience applying causal inference techniques in artificial intelligence and machine learning systems

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. 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. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.