Vision Researcher
What Is the role?
Lead research and development of next-generation computer vision algorithms for child care safety monitoring.
About you
PhD in Computer Vision, Machine Learning, or related field with a track record of groundbreaking research.
Deep expertise in computer vision algorithms, deep learning architectures (CNNs, Vision Transformers, etc.).
Proven experience in developing high-accuracy, real-time vision systems with focus on efficiency optimization.
Strong background in object detection, tracking, behavior analysis, and anomaly detection.
Experience with edge computing and model optimization for resource-constrained environments.
Publication record in top-tier conferences (CVPR, ICCV, ECCV, NeurIPS, ICML).
Passion for child safety and creating technology that makes a meaningful difference in the world.
Your Role
Lead research and development of next-generation computer vision algorithms for child care safety monitoring.
Design and implement deep learning models that achieve industry-leading accuracy in detecting safety incidents and risks.
Optimize vision systems for maximum efficiency, enabling real-time processing on edge devices.
Collaborate with our engineering team to translate research breakthroughs into production-ready solutions.
Continuously innovate to stay ahead of the curve in AI vision technology and maintain our competitive advantage.
Contribute to our high-efficiency culture by delivering exceptional results with precision and speed.
Responsibilities
Architect and develop state-of-the-art computer vision models for child safety monitoring applications.
Research and implement novel deep learning techniques to achieve maximum accuracy in safety incident detection.
Optimize model performance for real-time inference while maintaining the highest precision standards.
Design robust vision systems capable of operating in diverse lighting conditions and environments.
Collaborate with product teams to understand requirements and translate them into technical solutions.
Stay current with the latest advancements in computer vision and AI research.
Mentor junior researchers and contribute to our culture of technical excellence and innovation.
Requirements
PhD in Computer Science, Electrical Engineering, or related field with specialization in Computer Vision/AI.
5+ years of experience in developing production-grade computer vision systems.
Expertise in deep learning frameworks (PyTorch, TensorFlow) and computer vision libraries (OpenCV, etc.).
Strong mathematical foundation in linear algebra, statistics, and optimization.
Experience with model optimization techniques (quantization, pruning, distillation).
Proficiency in Python, C++, and GPU programming (CUDA).
Track record of publications in top-tier AI/CV conferences and journals.
Demonstrated ability to work in a fast-paced, high-efficiency environment.
We offer you
Competitive salary and equity package commensurate with your exceptional skills and experience.
Opportunity to work on cutting-edge AI technology that directly saves lives and protects children.
Access to state-of-the-art computing resources and research infrastructure.
Collaboration with world-class researchers and engineers in our high-efficiency culture.
Freedom to pursue innovative research directions that align with our mission.
Professional development opportunities including conference attendance and continued learning.
The chance to be part of a revolutionary technology that transforms child care safety worldwide.
How to Apply
If you’re passionate about pushing the boundaries of AI vision technology and want to make a meaningful impact in child safety, we want to hear from you. Please send your CV, a cover letter highlighting your relevant research experience, and links to your publications or portfolio to hello@bestchildcaresafety.com
Join us in our mission to create the world’s most advanced child care safety technology.