AI/ML Software Engineer jobs in United States
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Cooperidge Consulting Firm · 18 hours ago

AI/ML Software Engineer

Cooperidge Consulting Firm is seeking an AI/ML Software Engineer for a leading Defense & Intelligence Technology innovator. This role is designed for a high-drive engineer with a deep foundation in machine learning to design and deploy AI/ML solutions for critical decision-making needs in the Department of Defense and the Intelligence Community.

Logistics & Supply Chain
badNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

Responsibilities

SIGINT Engineering: Design and implement AI/ML solutions for event characterization, pattern recognition, and anomaly detection within SIGINT sensor systems
Autonomous Systems: Develop and enable autonomous decision-making systems that operate with minimal human intervention in complex environments
Architecture Integration: Partner with team leads to integrate ML capabilities into enterprise-level architectures, prioritizing performant processing and system maintainability
Predictive Modeling: Work with time-series data to develop models for automated analysis and intelligent insights in support of critical national security missions
MLOps Management: Oversee the deployment and processing pipelines, ensuring rigorous testing, validation, and security of all model deployments
Feature Discovery: Infer system states from underlying data streams and create adaptive processing systems for large-scale sensing platforms

Qualification

AI/ML experienceTensorFlowMLOps principlesNeural Network architecturesDigital Signal ProcessingCloud AI platformsProgramming backgroundStatistical analysisSoft skills

Required

Bachelor's degree (BS) or higher in Computer Science, Electrical Engineering, Math, or a related field
ACTIVE TS/SCI Clearance is REQUIRED
U.S. Citizenship is REQUIRED
Minimum of 1 year of professional AI/ML experience (3-5 years highly preferred)
Strong knowledge of model development and deployment using TensorFlow, PyTorch, or scikit-learn
Experience with Neural Network architectures, including Deep Learning and Transformers/Attention mechanisms
Solid programming background with exposure to statistical and signal analysis libraries
Mastery of MLOps principles, including processing pipelines and validation protocols

Preferred

Understanding of Digital Signal Processing (DSP) fundamentals and RFML
Experience with LLMs, fine-tuning, prompt engineering, and RAG/Agentic systems
Familiarity with containerization (Docker/Kubernetes) and Cloud AI platforms (AWS Bedrock, Vertex AI, etc.)
Knowledge of adversarial ML and AI security/robustness techniques

Benefits

Comprehensive health, vision, and dental insurance plans
Life insurance coverage
401(k) retirement plan with company matching contributions
Paid time off including vacation, sick leave, and holidays
Opportunities for career growth and advancement

Company

Cooperidge Consulting Firm

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Our mission is to support our clients' success by delivering top-quality personnel, delivering a high level of customer service and driving innovation in the both the commercial and government contracting space.

Funding

Current Stage
Early Stage
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