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About the Role

Actively building AI-driven applications to streamline customer workflows, focusing on business onboarding. Leveraging proprietary identity data and domain expertise, the company is expanding into AI-powered solutions for long-term growth. Seeking a hands-on applied ML expert to build the technical foundation, ideally with experience shipping external-facing models in risk/fraud, understanding challenges like imbalanced data and changing behavior. This highly technical role influences ML design, build, and scale at Middesk.

Responsibilities

Deliver production ML models for fraud, trust & safety, KYB, and compliance, impacting customer workflows.
Address complex classification problems involving extreme class imbalance, sparse signals, and cold start label challenges.
Innovate feature engineering and labeling using graph-based techniques, weak supervision, LLMs, and AI agents.
Partner with the ML infra team to design feature services, model training pipelines, serving standards, and orchestration for ML use cases.
Design and implement knowledge graph solutions using LLMs for construction, querying, and retrieval to enhance entity resolution and business identity.

Requirements

5+ years of production ML experience.
Track record of shipping external-facing ML applications in risk, fraud, credit, or trust & safety.
Hands-on experience building, querying, or extracting signals from knowledge graphs, ideally over business entity networks for identity verification, fraud detection, or risk decisioning.
Experience with entity resolution for business or individual identities, linking records across noisy, incomplete, or conflicting data sources in KYB, KYC, AML, or identity verification.
Expertise in classification with real-world ML challenges: imbalanced labels, sparse signals, cold start, and production version management.
Hands-on ML infrastructure experience including feature stores, model management, and ML training/serving pipelines.
Ability to set technical direction, mentor peers, and establish best practices as a senior Individual Contributor.
B2B SaaS experience, ideally building ML products for enterprise customers.
Experience building end-to-end training harnesses for ML pipeline and automation engineering.
Experience scaling ML across multiple products or risk domains.

Skills

Applied ML
Production ML
Risk/Fraud ML
Classification
Graph-based techniques
Weak supervision
LLMs
AI agents
Feature engineering
Labeling
ML infrastructure
Feature services
Model training pipeline
Model serving standards
Orchestration
Knowledge graph solutions
Entity resolution
KYB
KYC
AML
Identity verification
Data validation
Model management

Location

SF/NYC office
within a commutable distance

Work Type

hybrid work model
2 days per week in office

Experience Level

5+ years of production ML experience
Senior Individual Contributor

About the Company

Middesk simplifies business collaboration through identity verification.
Since 2018, the company has transformed business identity verification, replacing manual processes with seamless access to complete, up-to-date data.
The platform helps companies verify business identities, onboard customers faster, and reduce risk.
Middesk is a Y Combinator alumnus, backed by Sequoia Capital and Accel Partners, and named to Forbes Fintech 50 List.