Guide the design, development, and deployment of scalable, robust, and efficient object detection systems, from data annotation and model training to inference serving and monitoring.
Develop and implement comprehensive monitoring frameworks to track object detection model performance, identify accuracy degradation and inference bottlenecks, and ensure optimal performance in production environments.
Collaborate closely with Data Scientists, Computer Vision Researchers, Infrastructure teams, and clients to translate complex detection requirements into robust and impactful ML solutions.
Optimize object detection pipelines for accuracy, speed, and resource efficiency across diverse deployment scenarios (cloud, edge, specialized hardware).
Mentor and support other engineers on the team, fostering their professional growth and promoting a culture of technical excellence, knowledge sharing, and continuous learning.
Maintain clear and thorough documentation to support knowledge sharing and future development.
Design scalable model serving solutions for both custom-trained detection models and foundation vision models.
Requirements
Strong experience deploying, managing, and monitoring object detection models in production environments
Proficiency in Python and computer vision frameworks (PyTorch, TensorFlow, YOLO, Detectron2, etc.)
Understanding of object detection architectures (YOLO, Faster R-CNN, RetinaNet, DETR, etc.) and their trade-offs
Experience owning computer vision systems or products and understanding of the detection model lifecycle
Technical leadership experience or demonstrated leadership potential, especially in guiding teams and collaborative technical projects
Experience with image preprocessing, data augmentation, and annotation workflows for object detection
Experience optimizing detection models for inference speed and accuracy
Strong written and verbal communication skills and ability to collaborate effectively across multidisciplinary teams
Benefits
Medical, Dental & Vision – 100% paid for employees, 75% for dependents
401(k) Match – Up to 5% with full vesting after 2 years
Unlimited PTO – With a required minimum of 15 days off annually
Fully Remote Setup – Includes up to $3,000 equipment reimbursement
Continuous Education – Includes up to $500 reimbursement
Disability & Life Insurance – 100% employer-paid
HSA & FSA Options – With monthly HSA contributions from OpenTeams
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.