Machine Learning Engineer
Role summary
We are seeking a Machine Learning Engineer specializing in Computer Vision to enhance an internal visual classification system. This role involves integrating and fine-tuning existing vision APIs to analyze photos and videos across over 70 content categories. You will build and manage the end-to-end processing pipeline, handle video-specific tasks, monitor classification accuracy, and develop tools for team review and refinement. The position is full-time, open to remote candidates, and offers competitive compensation.
Machine Learning Engineer - Computer Vision
We're building an internal visual classification system that can analyze photos and videos and automatically tag them across 70+ content categories. This is a full-time role. Open to LA-based or remote. Competitive comp.
The foundation is there. we're working with existing vision APIs. but we need someone who can make the system actually work at the level we need. That means integrating the API, tuning and calibrating it against our specific taxonomy, building the processing pipeline around it, handling edge cases, and ensuring classification accuracy stays high as we scale.
What you'd be doing:
• Integrating and configuring vision APIs for multi-label classification across 70+ categories
• Fine-tuning and calibrating model outputs to match our specific content taxonomy
• Building the end-to-end pipeline ingestion, processing, tagging, and validation
• Handling video processing (frame sampling, scene detection, aggregating predictions)
• Monitoring accuracy, identifying failure patterns, and continuously improving results
• Building tooling to make it easy for the team to review, correct, and refine classifications
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