AI/ML Engineer - Computer Vision

Responsibilities

• Design, develop, train, and deploy machine learning and computer vision models for real-world mission applications.
• Build and optimize deep learning architectures, including CNNs, Vision Transformers (ViTs), and hybrid AI/ML models.
• Perform hyperparameter tuning, model optimization, and performance evaluation to improve accuracy, robustness, and efficiency.
• Develop and maintain training, validation, testing, and inference pipelines for AI/ML systems.
• Analyze model performance, identify failure modes, and implement improvements to increase reliability and generalization.
• Work with large image, video, and sensor datasets to support object detection, classification, segmentation, tracking, and anomaly detection tasks.
• Collaborate with software engineers and MLOps teams to integrate models into production environments.
• Evaluate emerging AI technologies and recommend new approaches that improve mission outcomes.
• Create technical documentation, experiment reports, and performance assessments.
• Support technical reviews, customer briefings, and cross-functional engineering efforts.

Requirements

• U.S. Citizenship
• Active Top-Secret Clearance with eligibility to obtain an SCI with CI Poly
• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Applied Mathematics, or a related technical field.
• 4+ years of experience developing AI/ML solutions in production, research, or applied engineering environments.
• Proven experience delivering models using Python and ML frameworks (TensorFlow, PyTorch, Keras, etc.).
• Experience training and evaluating machine learning models using large datasets.
• Experience developing and training computer vision models using deep learning techniques.
• Familiarity with CNNs, Vision Transformers, object detection, classification, and segmentation.
• Experience with model tuning, hyperparameter optimization, and performance evaluation.
• Strong understanding of computer vision fundamentals and image analysis techniques.
• Ability to improve model accuracy, robustness, and operational performance.
• Familiarity with software engineering best practices, Git, and collaborative development workflows.

Preferred Skills or Experience

• Experience with generative AI technologies, including diffusion models and image generation systems.
• Familiarity with Vision-Language Models (VLMs), multimodal AI, Large Vision Models (LVMs), and Retrieval-Augmented Generation (RAG).
• Experience with object tracking, multi-object tracking, or video analytics.
• Experience applying computer vision techniques to imagery, remote sensing, or sensor-based data.
• Familiarity with reinforcement learning or autonomous systems.
• Experience with MLOps tools and practices, including Docker, Kubernetes, MLflow, Airflow, and CI/CD pipelines.
• Experience deploying AI/ML solutions in AWS, Azure, or Google Cloud environments.
• Experience supporting defense, intelligence, aerospace, or other mission-critical programs.

Benefits

• Competitive compensation and benefits
• Professional development and tuition assistance
• Flexible and collaborative engineering culture
• Exposure to cutting-edge AI/ML technologies
• Direct impact on mission-critical programs
• Opportunities to grow into technical leadership roles

Pay

Salary range starts at $110,000 with the potential for higher compensation based on experience, skills, and mission needs.