Machine Learning Engineer

About PowerusPowerus 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.MissionOur mission is to deliver resilient autonomous technologies that strengthen national security, improve operational safety, and expand the capabilities of organizations operating in complex environments.Why Join PowerusPowerus 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.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.Position OverviewPowerus is seeking a Machine Learning Engineer to build the data, training, and deployment pipelines for models that run on Powerus autonomous aircraft.Key ResponsibilitiesBuild and maintain datasets from flight imagery and sensor logs, including labeling workflows and quality controlDevelop training and evaluation pipelines with reproducible experiments and versioned dataTrain, compress, and quantize models for embedded inferenceDeploy models to aircraft compute and verify accuracy and latency on target hardwareDefine evaluation metrics and test sets that reflect operational conditionsTrack model versions and their association with software releasesQualificationsMust be located in the United States, within commuting distance of Rock Hill, SCBachelor's degree in computer science, computer engineering, or a related discipline, or equivalent practical experienceProfessional experience training and deploying machine learning modelsProficiency in Python and PyTorch or TensorFlowExperience building data pipelines and managing large datasetsExperience with model evaluation and experiment trackingExperience with Linux, containers, and version controlU.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 dataPreferred QualificationsExperience with TensorRT, ONNX, or model quantizationExperience with computer vision modelsExperience with MLOps tools such as MLflow or Weights and BiasesExperience with defense or aerospace dataActive or prior U.S. security clearanceWhat We Look ForCandidates should have taken a model from dataset to deployment on a real product and be able to describe how they verified it after deployment.Equal Opportunity StatementPowerus is an equal opportunity employer committed to building a diverse and mission-driven workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by applicable law.