PMAT-posted 3 months ago
San Diego, CA
51-100 employees

PMAT has an immediate need for an AI ML Engineer. You will help operationalize artificial intelligence for robotics and autonomous systems supporting the Naval Operational Architecture. You will play a key role in applying advanced machine learning techniques to real-world naval platforms, driving innovations in autonomy, computer vision, and sensor fusion. This position offers the opportunity to work hands-on with cutting-edge autonomous systems and bring advanced algorithms from the lab to the operational environment. Your contributions will directly enhance the Navy’s capability to operate more effectively in complex and dynamic maritime domains.

  • Design and implement computer vision algorithms for object detection, tracking, and environmental perception.
  • Analyze and integrate data from various sensor modalities including EO/IR cameras, LIDAR, and radar.
  • Develop scalable data pipelines and orchestrate workflows using Apache Airflow and AWS services.
  • Write efficient Python code and shell scripts for deployment and automation tasks.
  • Work in a Linux development environment, emphasizing scripting, debugging, and system-level operations.
  • Collaborate with cross-functional teams including ML engineers, software developers, and systems integrators.
  • Strong background in Machine Learning and Computer Vision, including classical techniques and deep learning-based approaches.
  • Proficiency with Python and Bash scripting.
  • Experience with Apache Airflow and AWS Cloud for data orchestration and workflow automation.
  • Practical experience working with Unmanned Surface Vehicles (USVs), or similar autonomous platforms such as UAVs, UUVs, and/or Intelligence, Surveillance, and Reconnaissance (ISR) platforms.
  • Hands-on experience with computer vision libraries such as OpenCV, PyTorch, TensorFlow, etc.
  • Comfortable operating in Linux environments for development and deployment tasks.
  • Experience with real-time decision-making systems and edge computing environments.
  • Knowledge of robotics frameworks such as ROS or ROS2.
  • Familiarity with data engineering concepts and integrating ML models into production environments.
  • Understanding of DoD data standards and naval operational data workflows.
  • Exposure to cybersecurity best practices in AI/ML systems.
  • Experience deploying ML models on embedded or constrained hardware platforms.
  • Graduate-level research or practical experience in autonomous systems, reinforcement learning, or multi-agent systems.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service