A remote Data & ML role at Middesk.
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Original listing text, shown exactly as published by the company.
Design and ship production systems that detect and prevent fraud across KYB, trust & safety, and compliance workflows.
Tackle problems with extreme class imbalance, sparse signals, evolving adversarial behavior, and limited ground truth.
Apply graph-based approaches and entity resolution techniques to uncover hidden connections and improve risk detection.
Use a mix of heuristics, weak supervision, and modern AI tools (including LLMs where appropriate) to generate better features and labels.
Partner with engineering to build and evolve systems for feature generation, model training, and production deployment across multiple use cases.
You’ve worked on real-world fraud or abuse problems and understand the domain deeply.
You’ve deployed models or data-driven systems that power external-facing products.
Comfortable working on classification problems with real-world constraints like imbalanced data, sparse signals, and changing patterns.
You focus on impact over perfection and know how to balance speed, accuracy, and maintainability.
Middesk
YC W19Data & ML
16 open roles on Sydicom
Middesk's mission is to enable every business to access the products and services they need to grow and thrive. We believe that if we can make it easy for a business to access financial products, hire new employees, and transact with other businesses, that we increase the odds of success for that business to contribute to its community and the broader economy. Our Identity provides accurate, complete information that financial services companies need to make efficient onboarding decisions. Our Agent product makes it easy for employers to file with the state and federal agencies needed to establish their business across the country. Our customers include Affirm, Brex, Plaid, Mercury, Divvy, Rippling, Gusto, and others. Based in San Francisco, CA, Middesk is backed by Sequoia Capital, Accel Partners, and Y Combinator.
Source: Y Combinator