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Computer Vision Engineer

Remote / Online - Candidates ideally in
Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Vardera
Full Time, Remote/Work from Home position
Listed on 2026-02-28
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer, Computer Science, Data Scientist
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Overview

Vardera is revolutionizing the collectible commerce market by creating advanced AI infrastructure that identifies, authenticates, grades, and values collectibles from a single image. Leveraging category-specific computer vision models, Vardera turns expert-driven workflows into structured, scalable intelligence. Trusted by marketplaces, auction houses, insurers, and dealers, our technology helps minimize fraud, enhance listing quality, and provide transparent pricing for high-value items like collectibles, coins, trading cards, and comics.

As a venture-backed company, Vardera plays a pivotal role in digitizing industries during the global transfer of over $8 trillion in hard assets across generations.

Role Description

This is a full-time hybrid role for a Computer Vision Engineer based in Boston, MA, with flexibility for occasional remote work. The Engineer will develop and optimize computer vision and machine learning models, design algorithms for image identification and classification, and collaborate with cross-functional teams to deliver scalable AI solutions. Daily responsibilities will also include analyzing and processing datasets, deploying machine learning models into production, and contributing to the continual improvement of Vardera's AI infrastructure.

Qualifications
  • Strong expertise in computer vision techniques, machine learning models, and deep learning frameworks, such as Tensor Flow or PyTorch.
  • Proficiency in programming languages like Python, C++, or Java, with experience in image processing and algorithm development.
  • Knowledge of data preprocessing and working with large-scale datasets, including data collection, cleaning, and augmentation.
  • Experience with deploying models in production environments, using tools like Docker, Kubernetes, or cloud platforms.
  • Strong communication skills and ability to collaborate in a cross-functional, hybrid team environment.
  • Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field is preferred.
  • Previous experience in the collectible commerce or high-value assets domain is a plus.
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