[Remote] Senior Machine Learning Engineer (Remote)

Note: The job is a remote job and is open to candidates in USA. Attis is a high-growth defense startup building next-generation situational awareness and telemetry platforms for critical defense infrastructure. They are seeking a Senior Machine Learning Engineer to architect, train, and optimize deep learning models from scratch, working with massive streams of unstructured time-series data in a fully remote environment.ResponsibilitiesArchitect, train, and optimize deep learning inference models entirely from scratchProcess massive streams of unstructured time-series data (RF, audio waveforms, telemetry) in real-timeBuild a 'mixture of experts' inference architecture to balance speed and classification confidenceBypass managed cloud platforms to deploy robust models directly into custom Kubernetes infrastructureWork closely with data ingest teams to optimize hardware acceleration (CUDA) and low-level system performanceSkillsU.S. Citizenship with the ability to obtain a U.S. Security ClearanceDeep expertise in Python and deep learning frameworks (PyTorch preferred over TensorFlow)Proven history architecting models for high-velocity time-series or unstructured dataDemonstrated ability to deploy models in non-managed, cloud-native environments (OCI, Docker, Kubernetes)Systems programming proficiency (C/C++) for extreme performance optimization of Python modulesPrevious experience operating within the defense sector, high-frequency trading, or critical infrastructureBenefitsBenefitsCompany OverviewBuilding the teams behind the world’s most intelligent systems. It was founded in undefined, and is headquartered in Manchester, GB, with a workforce of 2-10 employees. Its website is https://www.attisglobal.com.