Computer Vision MLE - Senior

๐Ÿข mercor ยท all mercor jobs
๐Ÿ“ Germany
๐Ÿ“… Posted 2026-06-26 ยท via Himalayas
๐Ÿท Computer-Vision-Engineering,Machine-Learning-Engineering,Computer-Vision,Machine-Learning,Computer-Vision-MLE,Senior-Machine-Learning,Senior-ML-Engineering,Senior-AI-Vision-Researcher,Computer-Vision-and-Machine-Learning-Engineer,Senior-ML-Engineer
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About the job

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 .

Position: Computer Vision MLE
Type: Contract
Compensation: $135/hour
Location: Remote
Duration: 3โ€“4 weeks
Commitment: 20+ hours/week
Role Responsibilities

- Benchmark baseline model performance on a representative image sample.

- 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 .

Qualifications

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.

Compensation & Legal
- Hourly contractor

Application Process (Takes 20โ€“30 mins to complete)

- Upload resume

- AI interview based on your resume

- Submit form

Resources & Support

- For details about the interview process and platform information, please check:

- For any help or support, reach out to:

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Originally posted on Himalayas

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