Omni Federal
ML Engineer
Colorado Springs, Colorado, USA · full-time
No sponsorship$180k-$250kDetected 24 days ago
PythonMachine LearningTensorFlowPyTorchData ScienceNLPComputer VisionCybersecurityExcelSignal ProcessingRF EngineeringResearchCommunicationProblem Solving
About the role
- Autonomous Tasking: Integrate the completed passive RF combat ID capability into the IL2 MACHINA environment, enabling autonomous tasking and scheduling.
- The Hard Part (Why You'll Love This Role) Finding talent for this specific intersection of skills is notoriously difficult.
- This isn't a standard computer vision or NLP machine learning role; it requires a deep understanding of RF signal processing and the ability to train models on raw, complex I/Q data rather than clean, pre-processed datasets.
Responsibilities
- UDL Tech Transfer: Develop and standardize the output for the new Unified Data Library (UDL) Passive RF I/Q endpoint, ensuring the techniques developed can be seamlessly transferred to any other willing passive RF provider.
- Develop and standardize the output for the new Unified Data Library (UDL) Passive RF I/Q endpoint, ensuring the techniques developed can be seamlessly transferred to any other willing passive RF provider.
Requirements
- Engineer the connections required to ingest live sensor data from theVTNSI data source and route it effectively through the processing pipeline.
Nice to have
- Active DoD Security Clearance.
- Previous experience collaborating with academic or research institutions (e.g., VTNSI).
- Familiarity with Space Domain Awareness (SDA), satellite communications, or GEO RSO tracking.
- Experience working with the Unified Data Library (UDL), MACHINA, or delivering capabilities to the JCO.
- Background in automated scheduling or autonomous sensor tasking.
- Our team is always hungry for more - more knowledge, more problem solving, more growth, more innovation, and, ultimately, customer success.
- This hunger and hustle fuel our determination to excel in everything we do.
- It's not just about meeting established goals
Skills
- Deep expertise in Python and modern ML frameworks (PyTorch, TensorFlow).
Compensation
- $180k-$250k
Visa & Work Authorization
- Job Description Job Title: ML Engineer Location: Colorado Springs, CO or DC or Remote Security Clearance: Uncleared (Secret Preferred) or must be willing to obtain We question
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