Machine Learning Engineering Manager

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Machine Learning Engineering Manager in Illinois.

In this role, you will lead and scale a machine learning engineering team responsible for building intelligent systems that protect users and the platform from risk and fraud. You will combine hands‑on technical leadership with people management, shaping both the team’s growth and the technical roadmap. Working in a fast‑paced, mission‑driven environment, you will design and deploy production‑grade ML models that directly impact millions of users.

This position offers strong ownership, visibility, and influence across the organization. You will collaborate closely with operations and cross‑functional partners to respond quickly to evolving challenges. The role supports a flexible, remote‑friendly setup while delivering meaningful real‑world impact.

• Build, lead, and mentor a machine learning engineering team, taking a hands‑on approach while assuming increasing management responsibilities as the team grows
• Design, develop, and deploy machine learning models to strengthen risk management and fraud detection capabilities
• Own technical direction within the risk and fraud domain, helping define strategy, architecture, and best practices
• Write production‑quality code and ensure models are reliable, scalable, and maintainable
• Use SQL extensively to extract, transform, and prepare data for modeling and analysis
• Design experiments using sound statistical methods to evaluate performance and guide decision‑making
• Partner closely with operations and other teams to respond rapidly to emerging risks and events

• 5 or more years of experience in data science or machine learning engineering
• Strong proficiency in Python and SQL, with proven experience building and deploying ML models
• Solid background in data analysis, statistics, and experimental design
• Demonstrated leadership experience, including both technical guidance and people management
• Ability to communicate complex concepts clearly to both technical and non‑technical stakeholders
• Experience working with production machine learning systems
• Exposure to financial systems, lending, or risk and fraud use cases is a plus but not required

• Competitive salary based on experience
• Comprehensive medical and dental coverage
• Equity participation in a high‑growth startup environment
• Flexible remote work options and generous vacation policy
• Paid parental leave
• 401(k) retirement plan
• Employee referral program
• Strong opportunities for career growth and advancement

Why Apply Through Jobgether?

We use an AI‑powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role’s core requirements. Our system identifies the top‑fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.