mid Machine Learning Engineer ic 2+ yrs Master's · Posted Mar 17, 2026
$86,500 – $151,400
USD per year

About this role

Amazon is hiring a mid-level Machine Learning Engineer based in Boston, MA. The posting calls out experience with Python, R, SQL, Git and roughly 2+ years of relevant work. Listed education preference: a master's degree or equivalent. Compensation is listed at $86,500–$151,400 per year.

Role
Machine Learning Engineer
Function
machine learning
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Boston, MA
Experience
2+ years
Education
Master's degree
Department
Data Science
Posted
Mar 17, 2026
AI Summary
Design and execute complex multimodal datasets for AI model training using synthetic data generation, human-in-the-loop collection, and model-supported approaches. Requires Master's degree in Computational Linguistics, 2+ years in language data processing, Python proficiency, and experience with annotation systems across speech, text, and multimodal data.

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Job description

from Amazon careers

The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections. You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class. Key job responsibilities - Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables - Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches - Analyze and extract insights from large amounts of data - Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language - Use modeling tools to bootstrap or…

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