Machine Learning Engineer
Sunset- Location
- Not specified
- Work mode
- On-site
- Type
- full time
- Listed
Applications go directly to Sunset. Ramai takes no fee for placement and no money for ranking.
[ About this role ]
Machine Learning Engineer at Sunset focused on improving the de-identification pipeline for enterprise data. The role involves enhancing system understanding and protection of sensitive data across various modalities like messages, documents, and images. Key responsibilities include improving named-entity recognition, entity resolution, structured extraction, and classification to achieve measurable improvements in precision, recall, and data utility.
Skills and focus areas
- named-entity recognition
- entity resolution
- structured extraction
- classification
- semantic review
- machine learning
- data de-identification
- precision
- recall
- f1 score
- data utility
Summary written by Ramai from the original posting. Full details and requirements are on Sunset’s careers page.
[ More at Sunset ]
Find and move money after a death
See all 14 open roles at Sunset →[ Similar roles at other startups ]
Browse all open engineering roles →[ Not quite right? ]
Tell the assistant what you’re after — stage, location, stack, visa sponsorship — and it searches every open role for you. A few questions are free, no account needed.