Senior Machine Learning Engineer

🕒 May 11

🌪️ Kansas, Oklahoma, +1 more states – Remote

🌪️ Kansas – Remote 🌪️ Oklahoma – Remote 🤠 Texas – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Knowmadics

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

🔒 Cybersecurity

🏛️ Government

☁️ SaaS

Cybersecurity • Government • SaaS

Knowmadics is a defense- and national-security-focused technology company that delivers a 360° Aware software platform, electronic warfare (EW) and cyber training, and rapid innovation services. It combines EW, technical surveillance, cyber expertise, and AI-driven analytics to provide real-time situational awareness, a common operational picture, and scenario-based readiness for defense, intelligence, law enforcement, and enterprise duty-of-care customers. Knowmadics provides software (platform/SaaS), training, and mission-focused services to help operators anticipate threats, attain spectrum superiority, and make faster, more informed decisions across land, air, sea, cyber, and space domains.

📋 Description

• Lead the development + implementation of real-time feature detection and anomaly detection models • Generate data characteristic requirements for real-time data processing pipelines • Prepare technical documentation, reports, and specifications • Collaborate with cross-functional teams including project managers, technicians, and other engineers • Perform testing, troubleshooting, and quality assurance on systems or products • Ensure compliance with safety regulations, industry standards, and company policies

🎯 Requirements

• 7-10 YoE as a SWE or ML engineer building applied research and/or production technologies • Expertise on building production training and inference pipelines in python • A strong familiarity and personal preference for one or more deep learning libraries (ex. pytorch) • A comprehensive understanding of systems programming (a strong proficiency in C would imply this) • An understanding of how ETL processing works and familiarity with some of the common tools (kafka, spark, etc.) • Experience building machine learning models for unstructured data types (text, imagery, RF, telemetry, etc.) • Experience with hardware acceleration (GPUs, CUDA) for training and inference workloads • Experience packaging and deploying trained inference models for use in production environments • Minimum education requirement: High school diploma • Eligible to obtain a U.S. Security Clearance – U.S. Citizenship required

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development