Machine Learning Engineer

About Middesk

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.

THE ROLE:

We’re building AI-driven applications that power business onboarding, fraud prevention, and identity verification. With proprietary data assets and deep domain expertise, we’re uniquely positioned to create a new generation of ML-powered solutions for trust and risk.

We’re looking for a hands-on Machine Learning Engineer with strong Data Science expertise to take end-to-end ownership of the ML lifecycle: from feature design and model development, to deployment, monitoring, and iteration in production. Unlike larger organizations where responsibilities are split, you’ll have the opportunity to own models from concept to production while working closely with product managers, engineers, and data platform teammates who support and amplify your work.

This is a rare chance to join an earlier-stage company where you’ll have broad visibility and influence, and where your ML systems will have immediate and measurable impact on customers.

WHAT YOU’LL DO:

- End-to-end ML ownership: Lead the full lifecycle of ML systems — feature engineering, model design, training, evaluation, deployment, monitoring, and iteration.

- Collaborate with a strong team: Work alongside data engineers, platform engineers, and product teammates who ensure you have the infrastructure, data, and context to deliver.

- Design & deploy production models: Build high-performance ML applications in risk, fraud, trust & safety, and compliance domains.

- Keep mode...