Founding Applied Scientist - Build Production CV AI

Success Matcher Recruitment; New York (NY); On-site; USD 140,000 - 220,000; Full time

Job summary

Success Matcher Recruitment partners with a trailblazing AI-driven retail security startup in New York to recruit a Founding Applied Scientist who will build core AI capabilities from the ground up. You will own the full model development lifecycle, from data collection strategy to training, optimization, and shipping production-grade code, reporting to the CTO.

You will lead model development, bridge research and engineering with production-ready Python code, and design data collection

Qualifications

• 3+ years of professional experience in Applied Science, ML Engineering, or Computer Vision roles.
• Shipped customer-facing products with real-world CV applications (e.g., object detection, tracking).
• Advanced proficiency in Python with PyTorch or TensorFlow.
• Master’s degree or PhD in Computer Science, Machine Learning, or Computer Vision.

Responsibilities

• Lead Model Development: Take full ownership of the model lifecycle, including production training, optimization, and inference deployment.
• Bridge Research & Engineering: Write production-ready Python code to deploy CV models via cross-functional teams.
• Strategic Data Planning: Design data collection and quality frameworks to improve model accuracy in real-world retail environments.
• Technical Communication: Present findings and AI roadmaps to engineering teams and executives.

Skills

Python

Machine Learning

Computer Vision

Production deployment

Education

Master's degree or PhD in CS/ML/CV

Tools

PyTorch

TensorFlow

Job description

Success Matcher Recruitment partners with a trailblazing AI-driven retail security startup in New York to recruit a Founding Applied Scientist who will build core AI capabilities from the ground up. You will own the full model development lifecycle, from data collection strategy to training, optimization, and shipping production-grade code, reporting to the CTO.

You will lead model development, bridge research and engineering with production-ready Python code, and design data collection