Lead Edge AI Computer Vision Engineer

Norbert Health; New York (NY); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive salary and equity

High autonomy and technical ownership

Mission-driven culture focused on learning

Job summary

A healthcare technology firm is seeking a lead deep learning engineer to spearhead the development of its sensing technology. The role involves designing and optimizing computer vision models for edge deployment, contributing to healthcare solutions that significantly impact patient care. Candidates should possess a Master's or PhD in machine learning or computer vision, 5+ years of experience in deploying models, and strong C++ and Python skills. This position offers competitive compensation and a culture of technological innovation.

Qualifications

• 5+ years experience deploying computer vision models to production on edge devices.
• Strong fundamentals in data structures and system programming.
• Ability to work independently and drive projects to completion.

Responsibilities

• Design and deploy computer vision models for real-time inference.
• Optimize models for embedded deployment.
• Build and maintain MLOps pipelines for model training and validation.

Skills

C++ skills

Python proficiency

Machine learning

Computer vision algorithms

Data structures

Education

Master's or PhD degree in Machine learning / Computer vision

Tools

PyTorch

TensorRT

NVIDIA Jetson platform

Job description

A healthcare technology firm is seeking a lead deep learning engineer to spearhead the development of its sensing technology. The role involves designing and optimizing computer vision models for edge deployment, contributing to healthcare solutions that significantly impact patient care. Candidates should possess a Master's or PhD in machine learning or computer vision, 5+ years of experience in deploying models, and strong C++ and Python skills. This position offers competitive compensation and a culture of technological innovation.