Autonomous Systems Machine Learning Engineer

Autonomous Systems Machine Learning Engineer
Location: Arlington, VA (Hybrid or On-site depending on program needs)
Employment Type: Full-Time

A stealth-mode innovator in next-generation autonomous technologies is seeking a skilled Data Science Engineer to enhance the intelligence of aerial, ground, and ISR systems through machine learning. This high-impact role is perfect for someone eager to turn large-scale operational datasets into advanced, deployable AI systems for mission-critical performance. You’ll join a cross-functional team of top-tier engineers dedicated to national security and defense innovation, working at the forefront of applied ML research and development.

Key Responsibilities:

• Design, train, and deploy machine learning models using time-series, image, video, and multi-sensor datasets
• Build robust pipelines for data ingestion, preprocessing, model evaluation, and deployment across cloud and edge environments
• Develop and implement algorithms for pattern recognition, anomaly detection, adaptive decision-making, and predictive maintenance
• Integrate AI models with autonomous platforms by collaborating closely with perception, embedded systems, and autonomy teams
• Validate and optimize model performance through testing in both real-world and simulated environments

Required Qualifications:

• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Data Science, or a related field
• 3+ years of experience in machine learning, with a focus on model development and operational deployment
• Proficiency in Python and ML libraries (e.g., PyTorch, TensorFlow, scikit-learn)
• Experience working with time-series analysis, sensor fusion, or video analytics
• Understanding of cloud-based and on-device ML workflows

Preferred Qualifications:

• Domain experience in robotics, aerospace, ISR systems, or defense technologies
• Exposure to reinforcement learning or adaptive learning from real-time data streams
• Familiarity with synthetic data generation, data labeling workflows, and active learning techniques
• U.S. security clearance or ability to obtain one

Why You Should Apply:

• Contribute directly to national defense and public safety through intelligent systems
• Work with multi-modal mission data to drive machine learning innovation
• Be part of a growing organization with access to unique datasets and advanced testing infrastructure
• Receive strong compensation, support for clearance sponsorship, and opportunities for technical leadership