Machine Learning Engineer

• Bachelor’s degree in computer science, computer engineering, or a related discipline, or equivalent practical experience \n

• Professional experience training and deploying machine learning models \n

• Proficiency in Python and PyTorch or TensorFlow \n

• Experience building data pipelines and managing large datasets \n

• Experience with model evaluation and experiment tracking \n

• Experience with Linux, containers, and version control \n

• U.S. Person status required (U.S. citizen, lawful permanent resident, or protected individual under 8 U.S.C. 1324b(a)(3)); this role involves access to ITAR- and EAR-controlled technical data \n, * Experience with TensorRT, ONNX, or model quantization

About Powerus

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Powerus is building a next-generation American autonomous systems platform designed to move, protect, and sustain critical assets in high-consequence environments. The company combines advanced autonomy, manufacturing capability, operational expertise, and strategic acquisitions to support defense, national security, critical infrastructure, and commercial operations globally.

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Mission

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Our mission is to deliver resilient autonomous technologies that strengthen national security, improve operational safety, and expand the capabilities of organizations operating in complex environments.

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Why Join Powerus

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Powerus collects imagery and sensor data from every test and customer flight. Turning that data into models that run reliably onboard requires labeled datasets, repeatable training, and a controlled path from a trained model to a flight-qualified software release.

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This role builds and runs that path within the AI and machine learning group: data curation, training and evaluation pipelines, and model deployment to aircraft compute.

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