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.

Responsibilities

• Architect, train, and optimize deep learning inference models entirely from scratch
• Process massive streams of unstructured time-series data (RF, audio waveforms, telemetry) in real-time
• Build a 'mixture of experts' inference architecture to balance speed and classification confidence
• Bypass managed cloud platforms to deploy robust models directly into custom Kubernetes infrastructure
• Work closely with data ingest teams to optimize hardware acceleration (CUDA) and low-level system performance

Skills

• U.S. Citizenship with the ability to obtain a U.S. Security Clearance
• Deep expertise in Python and deep learning frameworks (PyTorch preferred over TensorFlow)
• Proven history architecting models for high-velocity time-series or unstructured data
• Demonstrated ability to deploy models in non-managed, cloud-native environments (OCI, Docker, Kubernetes)
• Systems programming proficiency (C/C++) for extreme performance optimization of Python modules
• Previous experience operating within the defense sector, high-frequency trading, or critical infrastructure

Benefits

• Benefits

Company Overview