Machine Learning Engineer, EXR OPS Tech Team

AI in this role

Design, build, and deploy production machine learning models and pipelines at scale.

pythonawspytorch

machine-learningmlopssoftware-engineering

Are you passionate about building software that operates at massive scale and directly impacts millions of customers? As a Machine Learning Engineer at Amazon, In this role, you will help design, build, and deploy machine learning models and systems that power innovative solutions at scale. You will work closely with senior engineers and scientists to develop production-grade ML pipelines, contribute to model training and evaluation, and support the end-to-end ML lifecycle. This is an excellent opportunity for an early-career ML practitioner who is passionate about applying machine learning to solve real-world customer problems. You will design, build, and deliver features that solve real customer problems while raising the bar on code quality and system reliability. This is a role where your technical contributions matter, your ideas shape the direction of the software you own, and your mentorship helps those around you grow. If you are a curious, collaborative engineer who thrives on turning ambiguous requirements into clean, maintainable solutions, we want to hear from you.

Key job responsibilities
- Design, develop, and maintain ML data pipelines and feature engineering workflows
- Design and implement software solutions across major components of your team's systems, balancing functional requirements with scalability, performance, and security considerations.
- Collaborate with Applied Scientists and Data Scientists to translate research prototypes into production systems
- Monitor model performance in production and implement retraining strategies
- Contribute to the full software development lifecycle including product definition, scoping, design, code review, testing, deployment, and operational support, while coaching teammates on producing high-quality, maintainable code.
- Identify root causes of operational issues and drive permanent fixes, continuously improving your team's software reliability and operational processes.
- Collaborate with customers, stakeholders, and cross-functional peers to understand business context and ensure your solutions deliver the right customer value.
- Evaluate new technical approaches and tools, including generative artificial intelligence capabilities, and recommend adoption where they improve productivity and solution quality.

A day in the life
You might start your morning reviewing a design document for a feature you are leading, then jump into a code review where you provide constructive feedback to a teammate. After a quick sync with your product partners to clarify requirements, you spend focused time writing and testing code. In the afternoon, you investigate an operational metric that looks off, trace it to a root cause, and begin implementing a fix. Throughout, you are mentoring newer engineers and contributing to decisions that shape how your team's software evolves.

Basic qualifications

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language

Preferred qualifications

- 3+ 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, WA, Bellevue - 143,700.00 - 194,400.00 USD annually

How we rate this

Machine Learning Engineer, EXR OPS Tech Team 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. Open the description and count.

Key facts

Machine Learning Engineer, EXR OPS Tech Team is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $144k-$194k a year.
The role is based in US, WA, Bellevue.
The job was posted on September 22, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Machine learningMLOpsSoftware EngineeringPythonAWSPyTorch

Questions you could be asked

Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where mlops was part of your work. What did you do?
Tell me about a project where software engineering was part of your work. What did you do?
What's a project where you used Python hands-on?
Walk me through how you've used AWS in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Machine learning, MLOps, Software Engineering, Python, and AWS. 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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