Nivoda: Where Innovation Meets the Jewelry Industry
Nivoda is a fast-growing B2B diamond and gemstone marketplace, built to empower jewelry retailers and suppliers worldwide. Our platform connects businesses of all sizes to the global diamond supply with secure, efficient, and competitively priced transactions.
With a team of over 500 professionals and deep industry expertise, we’ve created an award-winning platform tailored to the needs of the jewelry trade.
Role: Computer Vision Engineer (IDQ Team)
We’re hiring a Computer Vision Engineer to join our Intelligent Digital Quality (IDQ) team—responsible for processing and enhancing hundreds of thousands of jewelry product images and videos daily. Your work will directly impact buyer trust through visual quality improvements at global scale and real-time performance.
Key Responsibilities:
-
Develop algorithms for image quality scoring and enhancement (e.g., glare removal, blur detection, super-resolution, etc.).
-
Train deep learning models (PyTorch) on large, varied datasets and manage full model lifecycles.
-
Deploy models with robust Python/C++ code using Docker, Kubernetes, and cloud platforms (AWS or GCP).
-
Define metrics and automated tests to monitor and uphold visual standards.
-
Work cross-functionally with product, QA, design, and data teams.
-
Explore cutting-edge methods like diffusion models, NeRFs, and differentiable rendering.
Minimum Requirements:
-
Master’s in CS, EE, Applied Math, or a related field.
-
3+ years building production-level CV or graphics systems.
-
Strong grasp of image processing and modern ML architectures (CNNs, Vision Transformers).
-
Proficiency in Python/C++, Git, testing, and CI/CD workflows.
-
Experience with cloud-native ML deployments and SQL databases.
Preferred:
-
PhD or equivalent research in vision/graphics/photography.
-
Familiarity with generative models (GANs, diffusion) and 3D rendering pipelines.
-
Experience with OpenCV and large-scale image/video data pipelines.
What Nivoda Offers:
-
A fast-paced, collaborative environment in a scaling tech company.
-
Flat structure and intellectually challenging projects.
-
Flexible hours, unlimited holidays, and a strong learning culture.
-
A chance to make real impact in an industry undergoing digital transformation.