AI/ML Engineer, Hiring Intelligence, Science & Experimentation (HIRISE)

Amazon is hiring an AI/ML Engineer, Hiring Intelligence, Science & Experimentation (HIRISE) in Arlington, United States. It pays $168k-$227k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this machine learning engineer role is Builds AI ●●●●: the job is building AI systems.
The posting mentions Machine learning, software development and system architecture among its tools and skills.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Build advanced AI systems and machine learning algorithms to reinvent and scale Amazon's talent acquisition operations.

Machine learning

software-developmentsystem-architectureai-systemsalgorithmsmentoring

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

How we rate this

AI/ML Engineer, Hiring Intelligence, Science & Experimentation (HIRISE) at Amazon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

AI/ML Engineer, Hiring Intelligence, Science & Experimentation (HIRISE) is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $168k-$227k a year.
The role is based in US, VA, Arlington.
The job was posted on August 31, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Software DevelopmentSystem ArchitectureAI SystemsAlgorithmsMentoringMachine learning

Also common in machine learning engineer jobs at this level

Python PyTorch LLM TensorFlow Deep learning AWS

Pay

This job starts at: $168k
Typical machine learning engineer job: $197k

This posting starts 15% below the typical machine learning engineer job. See machine learning engineer jobs

Questions you could be asked

Tell me about a project where software development was part of your work. What did you do?
Tell me about a project where system architecture was part of your work. What did you do?
Tell me about a project where ai systems was part of your work. What did you do?
Tell me about a project where algorithms was part of your work. What did you do?
Tell me about a project where mentoring was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Software Development, System Architecture, AI Systems, Algorithms, and Mentoring. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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