We are seeking a talented Computer Vision | Machine Learning Engineer with strong experience in AI, Semantic Segmentation using PyTorch, and 3D and depth map technologies to join our team. The ideal candidate will have a background in applying these technologies for civil infrastructure inspection and management. You will work on developing cutting-edge solutions that combine classical computer vision techniques with state-of-the-art machine learning approaches.
Company Overview:
gNext Labs is a venture-backed startup revolutionizing the inspection and management of critical civil infrastructure through a fully cloud-based platform. Our technology integrates high-resolution imagery, video data, artificial intelligence (AI), and 3D modeling to deliver comprehensive, remote inspection solutions. This enables inspectors and asset managers to assess infrastructure such as bridges, tunnels, dams, and more, safely and efficiently from any location without the need for software installations.
Responsibilities:
1. Design, research, implement, test, and deploy enhancements to our AI and machine learning engines.
2. Develop new services based on semantic segmentation, 3D geometry, and depth map technologies.
3. Experience working in collaborative development environments and related technologies (version control, CI/CD, test automation).
4. Knowledge of 2D and 3D computer graphics.
5. Proficiency with Docker, Linux, and MLOps practices.
Perks:
1. Opportunity to work on an incredible pioneering technology team that impacts our society’s critical infrastructure.
2. Form part of a growing company with significant growth opportunities.
3. Competitive health and dental insurance plans.
4. Stock Option Plan.
gNext is an Equal Opportunity Employer and values diversity. We do not discriminate on the basis of race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are committed to providing employees with a work environment free of discrimination and harassment
Employment type
Full-time
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