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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.
About The Role:We’re building AI-driven applications that simplify customer workflows, starting with business onboarding. With our proprietary identity data and deep domain expertise, we’re in a strong position to expand into a broader set of intelligent, risk-aware products.
We’re looking for a hands-on engineer to help build the foundation for these systems. This role is less about inventing new ML algorithms and more about applying the right techniques to messy, real-world problems. You’ve worked in fraud, risk, or trust domains, and you understand how bad actors behave, how data breaks, and how to still ship reliable systems anyway.
This is a highly technical, hands-on role with broad influence over how we design, build, and scale data-driven systems at Middesk.
We follow a hybrid work model, and for this role, there is an expectation of 2 days per week in our SF/NYC office. Candidates should be based within a commutable distance, as we believe in the value of in-person collaboration and building strong team connections while also supporting flexibility where possible.
What You’ll Do:Build fraud & risk systems
Design and ship production systems that detect and prevent fraud across KYB, trust & safety, and compliance workflows.Work with messy, real-world data
Tackle problems with extreme class imbalance, sparse signals, evolving adversarial behavior, and limited ground truth.Leverage relationships in data
Apply graph-based approaches and entity resolution techniques to uncover hidden connections and improve risk detection.Improve signal & labeling
Use a mix of heuristics, weak supervision, and modern AI tools (including LLMs where appropriate) to generate better features and labels.Help scale our infrastructure
Partner with engineering to build and evolve systems for feature generation, model training, and production deployment across multiple use cases.
5+ years of experience in fraud, risk, or trust & safety
You’ve worked on real-world fraud or abuse problems and understand the domain deeply.Experience building and shipping production systems
You’ve deployed models or data-driven systems that power external-facing products.Strong foundation in applied ML or data systems
Comfortable working on classification problems with real-world constraints like imbalanced data, sparse signals, and changing patterns.Experience with graph or relational data approaches
Familiarity with knowledge graphs, network analysis, or entity linking is strongly preferred.Hands-on and pragmatic
You focus on impact over perfection and know how to balance speed, accuracy, and maintainability.
Skills Required
- 4+ years of experience in fraud, risk, or trust & safety
- Experience building and shipping production systems
- Strong foundation in applied ML or data systems
- Experience with graph or relational data approaches
Middesk Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Middesk and has not been reviewed or approved by Middesk.
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Fair & Transparent Compensation — Pay is considered competitive, with salaries often described as above industry averages across roles. Compensation packages are positioned as well-regarded within the company’s market segment.
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Strong & Reliable Incentives — Incentive plans are viewed as attractive, especially for sales roles with clear on‑target earnings and upside for strong performers. Plan design is characterized as competitive relative to peers, reinforcing positive sentiment toward variable pay.
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Healthcare Strength — Health coverage is described as robust, with the employer covering most premiums for medical, dental, and vision. Additional wellness resources and memberships complement the core coverage and access.
Middesk Insights
What We Do
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 and cited as an industry leader in business verification by digital identity strategy firm, Liminal.
Why Work With Us
We value curiosity, empathy, and diverse perspectives. We're excited about the scope of the problems we're working to solve. We look at situations based on first principles and prefer learning by doing. We have diverse backgrounds and skills, but we're passionate about our craft, hobbies, and the relationships we build.
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