Computer Vision Engineer

Lumicity; New York (NY); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Full medical/dental/vision

401(k) match

Generous PTO

Growth opportunities

Job summary

Lumicity in New York develops advanced technology products powered by computer vision and automation. The role focuses on developing, training, and deploying CV/ML models across the full product lifecycle, with close collaboration to hardware teams and other engineers.

Candidates should bring strong Python/C++ skills, OpenCV, and experience with PyTorch or TensorFlow, plus a track record of deploying ML models on real-world imaging data.

Qualifications

• 5+ years in computer vision, image processing, or ML.
• Strong Python and/or C++.
• OpenCV, PyTorch/TensorFlow experience.
• Experience training and deploying ML/deep learning models.
• Comfortable working with real-world imaging data and hardware.
• Pluses: 3D vision/depth sensing, camera/lighting hardware, robotics integration, CUDA/TensorRT.

Responsibilities

• Develop, train, and deploy computer vision and ML models across the full product lifecycle, integrating with hardware and cross-functional engineering teams.

Skills

Python

C++

OpenCV

PyTorch

TensorFlow

ML

Deep learning

Tools

CUDA/TensorRT

Job description

Our client builds advanced technology products powered by computer vision and automation.

Role:

Develop, train, and deploy computer vision and ML models across the full product lifecycle, integrating with hardware and cross-functional engineering teams.

Qualifications:

• 5+ years in computer vision, image processing, or ML
• Strong Python and/or C++
• OpenCV, PyTorch/TensorFlow experience
• Experience training and deploying ML/deep learning models
• Comfortable working with real-world imaging data and hardware
• Pluses: 3D vision/depth sensing, camera/lighting hardware, robotics integration, CUDA/TensorRT

Offers:

Competitive salary & equity, full medical/dental/vision, 401(k) match, generous PTO, growth opportunities