Applied Machine Learning Manager - Application Fraud

Requirements:

• 6+ years of industry experience applying machine learning or statistics to real-world problems, including 3+ years directly managing machine learning or data science teams. Experience at high-growth startups preferred.
• Experience leading ML or data science teams in fraud, identity, fintech, banking, financial services, payments, or adjacent risk-focused domains, and interest in growing into ownership of product direction for that domain.
• Bachelor's, Master's, or PhD in Computer Science, Statistics, Mathematics, Physics, or another quantitative discipline.
• Demonstrated success developing and deploying production machine learning models, plus experience writing production-quality Python code and tests.
• Strong practical ML and applied statistics knowledge: able to scope solutions quickly with standard tooling and go deep where it pays off.
• Comfortable working end to end, with a track record of measurable business impact: planning, defining success criteria, getting buy-in, building the solution, and delivering it, whether in production, in a deck, or as strategy.
• Comfortable with modern LLMs and AI-assisted development workflows and interested in pushing them further. Sound judgment when working with sensitive data under real information security and data governance constraints.
• Strong communicator who enjoys mentoring others while remaining technically hands-on. Detail oriented and thoughtful, someone we can rely on to make high-stakes calls while thriving on varied, open-ended, high-impact problems.
• Candidates must be legally authorized to work in the United States and must live in the United States.

Compensation:

• $200,000-$250,000/year + equity + benefits

Perks:

• Employer paid group health insurance for you and your dependents
• 401(k) plan with employer match (or equivalent for non US-based roles)
• Flexible paid time off
• Regular company-wide in-person events
• Home office stipend, and more!

Corporate Values: