Senior Machine Learning Engineer - Time-series / Telemetry data, NOT LLMs!

Attis is a high-growth defense startup focused on building next-gen situational awareness and telemetry platforms for critical defense infrastructure. The Senior Machine Learning Engineer will be responsible for architecting and optimizing deep learning models, processing unstructured telemetry data, and deploying robust models in custom Kubernetes environments.

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

Requirements:

• U.S. Citizenship with the ability to obtain a U.S. Security Clearance
• Deep expertise in Python and deep learning frameworks (PyTorch preferred)
• 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