AI/ML Engineer, Hiring Intelligence, Science & Experimentation (HIRISE)
Company websiteamazon.com (Amazon, opens in new tab)
Base salary $168,100 to $227,400
Employer-published annual base salary, USD. Advertised base range in Arlington, VA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationArlington, VA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (2 h ago) · observed since
About this job
Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You’ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems.
Basic Qualifications
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
Preferred Qualifications
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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, VA, Arlington - 168,100.00 - 227,400.00 USD annually
Source: Amazon · View original posting (opens in new tab)
Pay in context
This role's base floor ($168,100) is above 61% of the 348 Data & ML roles in Virginia listed on this site; 2 others list the same floor. Their median floor is $149,900; the middle half runs from $119,850 to $182,500.
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 listingAI/ML Engineer, Hiring Intelligence, Science & Experimentation (HIRISE)$168,100 to $227,400
Data Center Cluster Operations Leader, DCC Communities$170K to $265K
Data Center Cluster Operations Leader, AWS Data Centers$170K to $265K
Manager, Data Engineering, GMT Global Operations Engineering and Support$170K to $230K
Sr. Workday Application Analyst, Finance & Adaptive, Grocery Tech Business Operations & Program Management$170K to $230K
IT App Analyst III - AMZ10322420$170K to $230K
Sr. Manager, Data and Insights, US Prime & Marketing Technology$170,600 to $230,800
Chart as a table
| Role | Published base |
|---|---|
| AI/ML Engineer, Hiring Intelligence, Science & Experimentation (HIRISE) (this listing) | $168,100 - $227,400 |
| Data Center Cluster Operations Leader, DCC Communities | $170K - $265K |
| Data Center Cluster Operations Leader, AWS Data Centers | $170K - $265K |
| Manager, Data Engineering, GMT Global Operations Engineering and Support | $170K - $230K |
| Sr. Workday Application Analyst, Finance & Adaptive, Grocery Tech Business Operations & Program Management | $170K - $230K |
| IT App Analyst III - AMZ10322420 | $170K - $230K |
| Sr. Manager, Data and Insights, US Prime & Marketing Technology | $170,600 - $230,800 |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-08-31
Where this pay comes from
Location as the employer wrote it: US, VA, Arlington
USA, VA, Arlington - 168,100.00 - 227,400.00 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.