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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer, Radar Perception II/III - **Company:** Blue Origin - **Location:** Littleton, CO, United States - **Experience:** Experienced - **Salary:** $130,706.0 - $182,988.0 - **Contract:** Permanent contract - **Skills:** Training Data, Artificial Intelligence, Biometrics, Computer Engineering, Information Engineering, Embedded C, Field-Programmable Gate Array (FPGA), Python (Programming Language), Machine Learning, Object-Oriented Software Development, Signal Processing, Graph Neural Networks, Pytorch, Uncertainty Quantification (UQ), Deep Learning, Discretization, Information Technology, Machine Learning Operations, TensorRT, Data Generation - **Published:** October 22, 2026 - **Apply:** https://www.careerbuilder.com/job-details/machine-learning-engineer-radar-perception-ii-iii-littleton-co--7b470870-5a61-4734-bc1b-b8d7ab60f2a8 ## About the Role Machine Learning, Problem Solving Skills, Solar Power, Cost Control, Artificial Intelligence (AI), Sensitive Compartmented Information (SCI), Top Secret Clearance, Deep Learning, Algorithms, Object Modeling, * BS in Computer Science, Electrical Engineering, Computer Engineering, Physics, or a related field, plus about 3 years of ML engineering experience. * A track record of building and shipping deep learning models in PyTorch (or similar). * Edge deployment (TensorRT, quantization, FPGA or SoC targets). * Strong Python skills * Working knowledge of radar fundamentals: Radar bands and usage, link budgets, clutter mitigation, RCS, detection probability, and tracking., * Familiarity with Ground Moving Target Indicator (GMTI) or Airborne Moving Target Indicator (AMTI) signal processing concepts and their implications on system design * Experience with sensor data from radar, sonar, SAR, lidar, or RF. * Training on synthetic or simulated data, and closing the gap between simulation and real data. * Uncertainty quantification, calibration, or out-of-distribution detection. * Experience with embedded C++ * Active TS/SCI ## Description Why this role Turning radar returns into a confident answer about what an object is and how it behaves is still an open problem. On this team, you'll own the AI layer that takes raw radar data, finds objects of interest, and characterizes them well enough that the autonomy stack or operator can act on the result. You will be developing technology where labeled data is scarce, hardware resources are constrained, and the output matters. This is a new development program where you get to decide the model architecture., * Design, train and evaluate deep learning models (GNNs, transformers, DRL, Learned Algorithm Unfolding or hybrids) that find and classify objects of interest in raw radar data as well as range-Doppler and range-angle maps. * Build characterization models that estimate object attributes such as size, shape, motion state, track, behavior, with calibrated uncertainty. * Represent radar data in the right form for each model, for example point or track graphs for GNNs. * Build the data engine: synthetic data generation, simulation-based training, labeling strategy, augmentation, and handling of class imbalance. * Detect inputs that fall outside the training data, and flag low-confidence results so downstream systems know when not to trust the model. * Work with the Advanced Systems, DSP, GNC, and flight software teams to define how data is handed between stages and to deploy models on embedded or edge hardware. * Define the metrics, test sets, and evidence needed to qualify ML models for deployment to the edge., Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Background Check * Required for all positions: Blue's Standard Background Check * Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation * Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing, vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training. * Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical