Machine Perception Engineer – Vision
Quartermaster AI
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
SeniorLead
Tech Stack
PythonPyTorchTensorflow
About the role
- Lead 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.
- Develop 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.
Requirements
- Bachelors, Master’s or PhD in Computer Vision, Machine Learning, Robotics, or related 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 lead technical direction and mentor junior engineers.
Benefits
- Competitive salary
- Flexible work hours and the option for remote work.
- Opportunities for professional development and continued education.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
computer visionperception modelsinference pipelinesGPU-accelerated inferencemixed-precision inferencescene understandingobject segmentationactive learningdomain adaptationsensor fusion
Soft skills
problem-solvingdebuggingsoftware designcommunicationleadershipmentoring
Certifications
Bachelor's degreeMaster's degreePhD