intern Machine Learning Engineer ic Bachelor's · Posted Feb 6, 2026
$127,100 – $185,000
USD per year

About this role

Amazon is hiring a intern-level Machine Learning Engineer based in Cupertino, CA. The posting calls out experience with Python, Java, C, AWS. Listed education preference: a bachelor's degree or equivalent. Compensation is listed at $127,100–$185,000 per year.

Role
Machine Learning Engineer
Function
machine learning
Level
intern
Track
Individual contributor
Employment
Internship
Location
Cupertino, CA
Education
Bachelor's degree
Department
Software Development
Posted
Feb 6, 2026
AI Summary
Intern-level ML engineer working on AI accelerator chips, distributed systems, and compiler optimization at Amazon's Annapurna Labs. Requires programming experience in C/C++/Python and expertise in hardware design, systems programming, compilers, ML frameworks, or distributed systems.

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Job description

from Amazon careers

What if you could help build something that's never existed before? At Annapurna Labs, an Amazon company, we're not just participating in the AI revolution – we're accelerating it. We design custom silicon and revolutionary software systems that were considered impossible just yesterday, powering the world's most advanced AI infrastructure at AWS. From training the largest language models on Earth to developing breakthrough ML accelerator chips, we're inventing the future of cloud computing. We're seeking bold innovators and builders for our 2026 Early Career roles. This isn't your typical early career role - at Annapurna Labs, you'll work on projects that directly impact millions of AWS customers worldwide, tackling real technical challenges that push the boundaries of what's possible in AI acceleration. Our program offers multiple technical tracks, matching your skills and interests with projects across our organization. Want to architect next-generation AI chips that process billions of parameters? Build distributed systems that scale across thousands of accelerators? Create compiler optimizations that make ML training blazingly fast? Whether your passion lies in hardware design, distributed systems, compiler development, or ML infrastructure, we'll help you find your perfect fit and make meaningful contributions from day one. Some of our technical tracks…

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