Senior Machine Learning Engineer

Attis is an established defense technology innovator executing a massive, product-first commercial scaling cycle. They are seeking a Senior Machine Learning Engineer to architect and train deep learning models for processing telemetry streams and to define the machine learning roadmap for their core product pipeline.

Responsibilities:

• Architect and train custom deep learning models to process live, continuous multi-sensor telemetry streams
• Build high-throughput inference loops optimized for ultra-low latency execution profiles
• Develop custom processing extensions to handle extreme bandwidth constraints without packet loss
• Establish baseline model architectures locally to benchmark and outperform legacy industry subcontractors
• Collaborate closely with core backend developers to integrate models seamlessly into private Kubernetes clusters
• Define the long-term machine learning roadmap for a rapidly growing core product pipeline

Requirements:

• Absolute requirement for US Citizenship due to defense data constraints
• Extensive experience training deep learning models on continuous streaming datasets, waveforms, or temporal telemetry
• Mastery of Python alongside deep structural knowledge of core machine learning frameworks like PyTorch
• Track record of deploying production-ready containerized applications independent of managed cloud service wrappers
• Production experience writing performance-critical code utilizing C/C++ or writing custom CUDA kernels
• Deep background handling digital signal processing, radio frequency data, or industrial hardware telemetry
• Background thriving within autonomous, high-velocity engineering environments