Applied Scientist II, Special Projects

Socket.dev; Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

RSUs

Sign-on bonus

401(k) matching

Paid time off

Parental leave

Job summary

Amazon seeks an Applied Scientist for its Special Projects team in Seattle to build state-of-the-art ML models for healthcare, translating research into market-ready products. You will collaborate with scientists, engineers and product managers to deliver impactful solutions in an entrepreneurial, startup-like environment.

A strong background in AI/ML and the ability to translate research into practical deployments will be essential for success.

Qualifications

• 3+ years of building models for business applications.
• PhD, or Master's with 4+ years CS/CE/ML experience.
• Publications or patents at top conferences/journals.
• Proficient in Java, C++, Python.
• Experience solving business problems with ML, data mining and statistical algorithms.
• Experience designing experiments and statistical analysis of results.

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

Model development

Python

Java

C++

Data mining

Experiment design

Statistical analysis

Leadership

Education

PhD

Master's + 4+ years CS/CE/ML

Tools

Unix/Linux

Software development practices

Job description

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 an 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

• - 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 in solving business problems through machine learning, data mining and statistical algorithms
• - Experience in designing experiments and statistical analysis of results

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

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 - 142,800.00 - 193,200.00 USD annually