[Remote] Machine Perception Engineer (Vision)

Note: The job is a remote job and is open to candidates in USA. Quartermaster is seeking a highly reputed company Machine Perception Engineer to reputed company 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

• reputed company the design, training, and deployment of computer vision and perception models for tasks such as vessel detection, classification, and tracking
• Architect and optimize inference pipelines for real-time performance on edge devices, including GPU-accelerated and mixed-precision inference
• Implement and refine algorithms for scene understanding, object segmentation, and environmental awareness using both image and sensor fusion data
• Collaborate with hardware and software teams to ensure model compatibility with embedded systems and available compute resources
• reputed company techniques for edge-case detection, dataset curation, and self-healing model behavior in dynamic, non-ideal environments
• Apply active learning, domain adaptation, and synthetic data strategies to improve model robustness and generalization
• Work closely with RF and sensor teams to integrate complementary signal data into multimodal classification and detection pipelines
• Own model evaluation processes and benchmarking across hardware platforms and field conditions
• Maintain best practices for model versioning, traceability, and validation in safety-critical applications

Skills

• reputed company the design, training, and deployment of computer vision and perception models for tasks such as vessel detection, classification, and tracking
• Architect and optimize inference pipelines for real-time performance on edge devices, including GPU-accelerated and mixed-precision inference
• Implement and refine algorithms for scene understanding, object segmentation, and environmental awareness using both image and sensor fusion data
• Collaborate with hardware and software teams to ensure model compatibility with embedded systems and available compute resources
• reputed company techniques for edge-case detection, dataset curation, and self-healing model behavior in dynamic, non-ideal environments
• Apply active learning, domain adaptation, and synthetic data strategies to improve model robustness and generalization
• Work closely with RF and sensor teams to integrate complementary signal data into multimodal classification and detection pipelines
• Own model evaluation processes and benchmarking across hardware platforms and field conditions
• Maintain best practices for model versioning, traceability, and validation in safety-critical applications
• Bachelors, Master's or PhD in Computer Vision, Machine Learning, Robotics, or reputed company field
• 8+ years of experience in applied perception or computer vision, in performance critical applications
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
• Experience with model optimization techniques such as pruning, quantization, or TensorRT deployment
• Strong understanding of classical vision (OpenCV) as well as modern deep learning methods
• Familiarity with maritime, aerospace, or other harsh-environment sensing applications is a strong plus
• Experience with sensor fusion, Kalman filtering, or multi-modal neural networks
• Excellent problem-solving, debugging, and software design skills
• Strong communication skills, with the ability to reputed company technical direction and mentor junior engineers

Benefits

• Competitive salary
• Flexible work hours and the option for remote work.
• Opportunities for professional development and reputed company education.

Company Overview

• 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

• 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.

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