Senior Computer Vision Engineer for Technical Assessment

This role involves conducting a focused technical assessment of a computer vision system designed to identify and grade physical objects from images. You will benchmark the baseline model performance on a representative image sample, measure accuracy against a held-out set, assess data quality, and determine the realistic performance ceiling. Your findings will be translated into a decision-grade report tailored for a non-technical executive audience.

• Conduct a feasibility assessment of a computer vision system.
• Benchmark model performance and measure accuracy against a held-out dataset.
• Evaluate data quality and establish the performance ceiling.
• Prepare a comprehensive report for non-technical stakeholders.

• 5+ years of experience in computer vision and machine learning engineering, with hands-on experience in fine-tuning modern vision foundation models.
• Proven experience in classifying or grading physical objects from images, including identification, condition or quality scoring, and defect detection.
• Strong evaluation discipline, including representative sampling, train/eval separation, and accurate benchmarking.
• Ability to assess the feasibility and production-readiness of computer vision systems and communicate findings effectively to a non-technical audience.

• Experience with authentication, counterfeit, or anomaly detection.
• Exposure to private equity diligence or other time-sensitive advisory work.
• Familiarity with imaging hardware and capture pipelines, including cameras and lighting, as well as edge or on-prem deployment.

Engagement is remote and hourly.

Compensation is set at $135 per hour.