[Remote] Machine Perception Engineer (Vision)
Note: The job is a remote job and is open to candidates in USA. Quartermaster is seeking a highly experienced Machine Perception Engineer to lead the development of edge-deployed perception and intelligence systems for maritime environments. The role focuses on enabling vessels to autonomously understand their surroundings through real-time scene analysis, object detection, classification, and tracking.
Responsibilities
ā¢ Lead the design, training, and deployment of computer vision and perception models for tasks such as vessel detection, classification, and tracking
ā¢ Architect and optimize inference pipelines for real-time performance on edge devices, including GPU-accelerated and mixed-precision inference
ā¢ Implement and refine algorithms for scene understanding, object segmentation, and environmental awareness using both image and sensor fusion data
ā¢ Collaborate with hardware and software teams to ensure model compatibility with embedded systems and available compute resources
ā¢ Develop techniques for edge-case detection, dataset curation, and self-healing model behavior in dynamic, non-ideal environments
ā¢ Apply active learning, domain adaptation, and synthetic data strategies to improve model robustness and generalization
ā¢ Work closely with RF and sensor teams to integrate complementary signal data into multimodal classification and detection pipelines
ā¢ Own model evaluation processes and benchmarking across hardware platforms and field conditions
ā¢ Maintain best practices for model versioning, traceability, and validation in safety-critical applications
Skills
ā¢ Lead the design, training, and deployment of computer vision and perception models for tasks such as vessel detection, classification, and tracking
ā¢ Architect and optimize inference pipelines for real-time performance on edge devices, including GPU-accelerated and mixed-precision inference
ā¢ Implement and refine algorithms for scene understanding, object segmentation, and environmental awareness using both image and sensor fusion data
ā¢ Collaborate with hardware and software teams to ensure model compatibility with embedded systems and available compute resources
ā¢ Develop techniques for edge-case detection, dataset curation, and self-healing model behavior in dynamic, non-ideal environments
ā¢ Apply active learning, domain adaptation, and synthetic data strategies to improve model robustness and generalization
ā¢ Work closely with RF and sensor teams to integrate complementary signal data into multimodal classification and detection pipelines
ā¢ Own model evaluation processes and benchmarking across hardware platforms and field conditions
ā¢ Maintain best practices for model versioning, traceability, and validation in safety-critical applications
ā¢ Bachelors, Master's or PhD in Computer Vision, Machine Learning, Robotics, or related field
ā¢ 8+ years of experience in applied perception or computer vision, in performance critical applications
ā¢ Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
ā¢ Experience with model optimization techniques such as pruning, quantization, or TensorRT deployment
ā¢ Strong understanding of classical vision (OpenCV) as well as modern deep learning methods
ā¢ Familiarity with maritime, aerospace, or other harsh-environment sensing applications is a strong plus
ā¢ Experience with sensor fusion, Kalman filtering, or multi-modal neural networks
ā¢ Excellent problem-solving, debugging, and software design skills
ā¢ Strong communication skills, with the ability to lead technical direction and mentor junior engineers
Benefits
ā¢ Competitive salary
ā¢ Flexible work hours and the option for remote work.
ā¢ Opportunities for professional development and continued education.
Company Overview
ā¢ We are a defense technology company using proprietary AI robotics tech to build a sensor constellation to deliver unprecedented insights into global maritime activity. It was founded in 2023, and is headquartered in Washington, D.C, US, with a workforce of 11-50 employees. Its website is https://www.quartermaster.us.
Company H1B Sponsorship
ā¢ Quartermaster AI has a track record of offering H1B sponsorships, with 1 in 2025. Please note that this does not guarantee sponsorship for this specific role.
Apply Now
Apply Now
Responsibilities
ā¢ Lead the design, training, and deployment of computer vision and perception models for tasks such as vessel detection, classification, and tracking
ā¢ Architect and optimize inference pipelines for real-time performance on edge devices, including GPU-accelerated and mixed-precision inference
ā¢ Implement and refine algorithms for scene understanding, object segmentation, and environmental awareness using both image and sensor fusion data
ā¢ Collaborate with hardware and software teams to ensure model compatibility with embedded systems and available compute resources
ā¢ Develop techniques for edge-case detection, dataset curation, and self-healing model behavior in dynamic, non-ideal environments
ā¢ Apply active learning, domain adaptation, and synthetic data strategies to improve model robustness and generalization
ā¢ Work closely with RF and sensor teams to integrate complementary signal data into multimodal classification and detection pipelines
ā¢ Own model evaluation processes and benchmarking across hardware platforms and field conditions
ā¢ Maintain best practices for model versioning, traceability, and validation in safety-critical applications
Skills
ā¢ Lead the design, training, and deployment of computer vision and perception models for tasks such as vessel detection, classification, and tracking
ā¢ Architect and optimize inference pipelines for real-time performance on edge devices, including GPU-accelerated and mixed-precision inference
ā¢ Implement and refine algorithms for scene understanding, object segmentation, and environmental awareness using both image and sensor fusion data
ā¢ Collaborate with hardware and software teams to ensure model compatibility with embedded systems and available compute resources
ā¢ Develop techniques for edge-case detection, dataset curation, and self-healing model behavior in dynamic, non-ideal environments
ā¢ Apply active learning, domain adaptation, and synthetic data strategies to improve model robustness and generalization
ā¢ Work closely with RF and sensor teams to integrate complementary signal data into multimodal classification and detection pipelines
ā¢ Own model evaluation processes and benchmarking across hardware platforms and field conditions
ā¢ Maintain best practices for model versioning, traceability, and validation in safety-critical applications
ā¢ Bachelors, Master's or PhD in Computer Vision, Machine Learning, Robotics, or related field
ā¢ 8+ years of experience in applied perception or computer vision, in performance critical applications
ā¢ Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
ā¢ Experience with model optimization techniques such as pruning, quantization, or TensorRT deployment
ā¢ Strong understanding of classical vision (OpenCV) as well as modern deep learning methods
ā¢ Familiarity with maritime, aerospace, or other harsh-environment sensing applications is a strong plus
ā¢ Experience with sensor fusion, Kalman filtering, or multi-modal neural networks
ā¢ Excellent problem-solving, debugging, and software design skills
ā¢ Strong communication skills, with the ability to lead technical direction and mentor junior engineers
Benefits
ā¢ Competitive salary
ā¢ Flexible work hours and the option for remote work.
ā¢ Opportunities for professional development and continued education.
Company Overview
ā¢ We are a defense technology company using proprietary AI robotics tech to build a sensor constellation to deliver unprecedented insights into global maritime activity. It was founded in 2023, and is headquartered in Washington, D.C, US, with a workforce of 11-50 employees. Its website is https://www.quartermaster.us.
Company H1B Sponsorship
ā¢ Quartermaster AI has a track record of offering H1B sponsorships, with 1 in 2025. Please note that this does not guarantee sponsorship for this specific role.
Apply Now
Apply Now