Computer Vision MLE - Senior

• Measure accuracy against a held-out set and assess data quality.
• Evaluate the realistic performance ceiling of the computer vision system.
• Translate findings into a decision-grade report for a non-technical executive audience.
• Work independently and asynchronously to meet deadlines and improve AI model performance.

Must-Have

• 5+ years in computer vision and ML engineering.
• Experience classifying or grading physical objects from images.
• Strong evaluation discipline in representative sampling and accuracy benchmarking.
• Ability to assess feasibility and communicate clearly to a non-technical audience.

Preferred

• Experience with authentication, counterfeit, or anomaly detection.
• Exposure to private equity diligence or time-boxed advisory work.
• Familiarity with imaging hardware, capture pipelines, and edge or on-prem deployment.

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.