[Remote] ML Data Engineer is a AI Data Engineer role (full-time). with Ghost. in REMOTE, AUSTIN, US. Imported listing (source: willow.2kool4u.net). Apply on the employer's site (willow.2kool4u.net).
Imported listing (source: willow.2kool4u.net) · Apply on willow.2kool4u.net
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Imported job description
Sourced from willow.2kool4u.net
Outpost is seeking an ML Data Engineer to own the accuracy of their computer vision system for truck and trailer storage. The role involves tracking CV accuracy metrics, investigating misclassifications, curating datasets, and improving continuous learning pipelines. Ideal candidates have production computer vision experience, strong Python skills, and data annotation expertise.
Responsibilities
Own tracking and reporting of CV accuracy metrics per customer and identifier type
Investigate misclassifications and false negatives, categorize root causes, and identify patterns
Curate, label, and prioritize datasets for model retraining in partnership with ML and CV engineers
Build and improve the continuous learning pipeline so new models ship weekly
Define functional acceptance criteria for CV accuracy per customer and track progress
Translate accuracy findings into decisions for engineering and customer-facing stakeholders
Progress from flagging issues to fixing them directly, including building labeling/preprocessing tooling and running retraining jobs
Requirements
3+ years in data quality, ML data engineering, or applied ML role
Experience with computer vision or object detection systems in production
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