ML Systems Reasoning Engineer — Remote
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Software Development
Machine Learning/ ML Engineer
Job Description & How to Apply Below
Data Annotation is seeking a Machine Learning Engineer to stress-test how models reason about ML systems, including training dynamics, evaluation design, data pipelines, and deployment trade-offs.
You will write prompts, review AI output for subtle errors, and craft correct solutions grounded in practitioner experience. This is a flexible, remote role in the United States with strong English and Python/PyTorch/JAX skills.
This role is for the ML Systems Reasoning Engineer — Remote & Flexible role at Data Annotation.
Take a moment to read everything above and see whether this role is right for you.
This posting is for the ML Systems Reasoning Engineer — Remote & Flexible role at Data Annotation, based in SD, United States.
We are looking to fill the ML Systems Reasoning Engineer — Remote & Flexible position at Data Annotation in SD, United States.
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