Six Figure Work

Sr. Applied Scientist, Special Projects

Amazon

Company websiteamazon.com (Amazon, opens in new tab)

Base salary $167,100  to $226,100

Employer-published annual base salary, USD. Advertised base range in Seattle, WA +1 more

Apply (opens in new tab)

You apply on the employer's own site. Six Figure Work does not handle applications.

  • LocationSeattle, WA +1 more
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (2 h ago) · observed since
All places named
  • Seattle, WA
  • Boston, MA

About this job

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. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you.

Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We are constantly learning through programs that are local, regional, and global. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

As a Applied Scientist at the intersection of machine learning and the life sciences, you will participate in developing exciting products for customers. 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 others teams.

Basic Qualifications

  • PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
  • 5+ years of building machine learning models for business application experience
  • Experience programming in Java, C++, Python or related language
  • Experience with neural deep learning methods and machine learning

Preferred Qualifications

  • Experience in deep learning models for life sciences.

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, MA, Boston - 167,100.00 - 226,100.00 USD annually

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

Source: Amazon · View original posting (opens in new tab)

Pay in context

This role's base floor ($167,100) is above 64% of the 329 Data & ML roles in Washington listed on this site; 32 others list the same floor. Their median floor is $143,700; the middle half runs from $136,000 to $168,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.

This range next to 6 other live Amazon roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Amazon roles with the nearest advertised base floor
RolePublished base
Sr. Applied Scientist, Special Projects (this listing)$167,100 - $226,100
Senior Applied Scientist, Computer Vision and Robotics, Amazon Robotics$167,100 - $226,100
Sr Applied Scientist, Core Shopping Data Science$167,100 - $226,100
Senior Applied Scientist, Strategic Sourcing Science$167,100 - $226,100
Senior Applied Scientist, Leo Space Security$167,100 - $226,100
Senior Applied Scientist, Amazon Global Data Center Ops Central Insight and Analytics Team$167,100 - $226,100
Sr. Applied & Research Scientist - Safe Autonomy Frontiers (SAF) Lab, Safe Autonomy Frontiers (SAF) Lab$167,100 - $226,100

Same $100K to $400K scale as every card. All Amazon roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-08-10
Where this pay comes from

Location as the employer wrote it: US, WA, Seattle • US, MA, Boston

USA, MA, Boston - 167,100.00 - 226,100.00 USD annually

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.