mid Machine Learning Engineer ic 2+ yrs Bachelor's · Posted Feb 11, 2026
$143,700 – $194,400
USD per year

About this role

Amazon is hiring a mid-level Machine Learning Engineer based in Seattle, WA. The posting calls out experience with LLMs, Data Structures, Machine Learning and roughly 2+ years of relevant work. Listed education preference: a bachelor's degree or equivalent. Compensation is listed at $143,700–$194,400 per year.

Role
Machine Learning Engineer
Function
machine learning
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Seattle, WA
Experience
2+ years
Education
Bachelor's degree
Department
Software Development
Posted
Feb 11, 2026
AI Summary
Develop and maintain platforms for building, evaluating, and deploying large language models at scale. Work with applied scientists on distributed model training, data processing, and generative AI technologies. Requires 2+ years software development and systems design experience.

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Job description

from Amazon careers

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 next level. 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. Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best.…

This is an excerpt. Read the full job description on Amazon careers →
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