mid Machine Learning Engineer ic 2+ yrs Master's · Posted Jan 20, 2026
$82,700 – $131,600
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 Python, LLMs, NLP, Prompt Engineering and roughly 2+ years of relevant work. Listed education preference: a master's degree or equivalent. Compensation is listed at $82,700–$131,600 per year.

Role
Machine Learning Engineer
Function
machine learning
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Seattle, WA
Experience
2+ years
Education
Master's degree
Department
Applied Science
Posted
Jan 20, 2026
AI Summary
Language Engineer designing Alexa Shopping features using NLP and LLMs. Generates high-quality training data, runs experiments, engineers prompts, and collaborates with scientists and engineers. Requires 2+ years computational linguistics experience and strong Python skills.

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Job description

from Amazon careers

The Alexa Shopping team is seeking a Language Engineer with experience in the field of Natural Language Processing, Machine Learning, or Large Language Models, as well as expertise in handling large data sets and strong analytical skills. You will play a critical role in innovative projects by driving design of Alexa Shopping features. The key responsibilities are to generate high-quality data and to run and evaluate experiments, which involves prompt engineering our Large Language Model for API delivery. You will work closely with engineers, scientists, Editors, and program managers to ensure we're providing the best voice shopping experience for millions of our customers. As a Language Engineer, you will start by diving deep into a couple of critical projects across Alexa Shopping experiences. You will collaborate with fellow Language Engineers, Data Scientists, Program Managers, and stakeholders in science, engineering, and product teams to understand the role data plays in developing data sets and exemplars that meet customer needs. You will analyze and automate processes for collecting and annotating LLM inputs and outputs to assess data quality and measurement. You will apply state-of-the-art Generative AI techniques to analyze how well our data represents human language and run experiments to gauge downstream…

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