Applied ML Engineer | Remote

Work Snapshot

Type: W2 Contingent Role

Location: Remote

Commission: $135/hour

Duration: 3 4 week technical assessment engagement with potential extension

What You Ll Be Doing

• Benchmark computer vision model performance on representative image datasets
• Measure accuracy against held-out evaluation sets and assess data quality
• Evaluate the feasibility and production readiness of computer vision systems
• Analyze identification, grading, condition scoring, or defect detection workflows
• Present findings and recommendations in executive-level reports for non-technical stakeholders

What We Re Looking For

• Strong experience in computer vision and machine learning engineering, including fine-tuning modern vision foundation models
• Strong experience classifying, grading, identifying, or assessing physical objects from images
• Strong experience with model evaluation, representative sampling, accuracy benchmarking, and calibration
• Ability to assess system feasibility and communicate technical findings to non-technical audiences
• Strong experience with authentication, counterfeit detection, anomaly detection, imaging hardware, or deployment environments is a plus

How To Apply

• Upload resume
• Interview
• Submit form