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Kelly Services

Research Engineer / Robotics / ML

Pay: $125,000/yr

Posted: 07/04/2026

Location: Lenexa, KS (Onsite)

Last Updated: 2 weeks ago

Hours: Full-Time

Expires: 9/25/2026

Career Insights for Machine Learning Engineer

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What they do

A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.

$133,257 / year median in Kansas

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Job Description

$100000 - $150000 A robotics and AI team in Kansas is looking for a Research Engineer to help build the systems that power real world machine learning. This is a full-time role where you will be working across robotics, computer vision, and applied ML, using tools like ROS /ROS2, Python, C++, and PyTorch/TensorFlow. Robots are out in the real-world collecting data, and your job is to help make sure that data is usable, structured, and feeding into machine learning models in the right way. If you are early in your career and want real exposure to robotics, ML and data systems all in one place, this is a rare setup. Required Skills & Experience + 1-2 years of experience with robotics and machine learning (Internship experience acceptable) + Graduated with a bachelor's degree in Computer Science + Experience with

ROS /ROS2

frameworks + Proficiency in Python and C++ Worked with ML models (PyTorch/TensorFlow/ sklearn) + Experience working with data pipelines or making raw data usable for AI systems Desired Skills & Experience + Exposure to robotic manipulators or mobile robot systems + Experience with biometric/ identity verification systems + Familiarity with cloud platforms What You Will Be Doing Tech Breakdown + 40% Robotics Systems + 35% Machine Learning + 25% Data Engineering Daily Responsibilities + 50% Hands On + 30% Team Collaboration + 20% Systems improvement Applicants must be currently authorized to work in the US on a full-time basis now and in the future. To view full details and how to apply, please login or create a Job Seeker account