Middesk
Lead Data Scientist
San Francisco · Senior
Sponsorship not specifiedDetected 56 days ago
Machine LearningData ScienceLLMsAgentic AIMLOpsCollaborationMentoring
About the role
- We follow a hybrid work model, and for this role, there is an expectation of 2 days per week in our SF/NYC office.
- Tackle hard data problems: Work on classification problems with extreme class imbalance, sparse signals, and "cold start" label challenges.
Responsibilities
- Build risk & fraud ML applications: Deliver production ML models in fraud, trust & safety, KYB, and compliance domains, with measurable impact on customer workflows.
- Establish ML infrastructure foundations: Partner with the ML infra team to design feature services, model training pipeline, model serving standards, and orchestration to scale multiple ML use cases.
- Design and implement knowledge graph solutions: Leveraging LLMs for graph construction, querying, and retrieval to enhance entity resolution and business identity use cases.
- Building Production ML for risk, fraud, credit, or trust & safety: Track record of shipping external-facing ML applications in one or more of these domains.
- Knowledge graph applications: Hands-on experience building, querying, or extracting signals from knowledge graphs-ideally over business entity networks (companies, persons, addresses, relationships) to support identity verification, fraud detection, or risk decisioning.
- Deliver production ML models in fraud, trust & safety, KYB, and compliance domains, with measurable impact on customer workflows.
- Partner with the ML infra team to design feature services, model training pipeline, model serving standards, and orchestration to scale multiple ML use cases.
Requirements
- 7+ years of production ML experience in one or more of the following areas:
- Expertise in classification with real-world ML challenges, for example: imbalanced labels, sparse signals, cold start, and production version management.
- Hands-on ML infrastructure experience: feature stores, model management, ML training/serving pipelines.
- Comfort as a senior IC: setting technical direction, mentoring peers, and establishing best practices.
- Experience scaling ML across multiple products or risk domains.
- 7+ years of production
Nice to have
- Ideally you have shipped external-facing models in the risk/fraud space and know the messy realities of imbalanced data, low labels, and changing behavior.
Company info
- Middesk makes it easier for businesses to work together.
- Since 2018, we've been transforming business identity verification, replacing slow, manual processes with seamless access to complete, up-to-date data.
- Our platform helps companies across industries confidently verify business identities, onboard customers faster, and reduce risk at every stage of the customer lifecycle.
- Middesk came out of Y Combinator, is backed by Sequoia Capital and Accel Partners, and was recently named to Forbes Fintech 50 List.
- We are actively building AI-driven applications that streamline customer workflows, focusing on business onboarding.
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