Applied ML Manager — Fraud & Identity Solutions

SentiLink; United States; Hybrid; USD 200,000 - 250,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Flexible paid time off

In-person company events

Job summary

SentiLink is seeking a senior ML leader to directly manage a team of applied ML scientists and shape engineering and modeling practices across our risk and identity platform.

You will own area execution, mentor team members, and collaborate with Product, Engineering, and Risk to deliver high-impact ML solutions from data acquisition to production deployment. A proven leader with hands-on coding and strong communication will thrive here.

Qualifications

• 6+ years of industry experience applying ML or statistics to real-world problems, including 3+ years directly managing ML 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.
• Demonstrated success developing and deploying production ML models, plus experience writing production-quality Python code and tests.

Responsibilities

• Directly manage a team of applied ML scientists, 4 today and growing to 6 by the end of 2026, and help set the engineering and modeling practices they work by.
• Own execution for your area: priorities, delivery, and the results your team produces.
• Coach and mentor team members through model development, experimentation, and technical decision making, and remain hands-on where it matters most, including code review and production systems.
• Partner with senior leadership, Product, Engineering, and Risk to prioritize work and deliver impactful ML solutions.
• Communicate progress, tradeoffs, and results clearly, and grow into representing your domain in product strategy discussions.
• Develop and improve SentiLink's fraud detection and identity models across the full lifecycle: data acquisition, feature engineering, labeling strategy, model training, experimentation, production deployment, monitoring, and iteration.
• Research emerging fraud patterns, build new ML capabilities for identity verification and financial risk, and design analyses that inform product and business decisions.
• Use AI throughout your team's work, help push the boundary on what that unlocks, and contribute to our exploration of where AI belongs inside the products themselves.

Skills

Team leadership

Machine learning

Communication

Mentoring

Education

Bachelor/Master/PhD in CS/Statistics/Math

Tools

Python

SQL

Job description

SentiLink is seeking a senior ML leader to directly manage a team of applied ML scientists and shape engineering and modeling practices across our risk and identity platform.

You will own area execution, mentor team members, and collaborate with Product, Engineering, and Risk to deliver high-impact ML solutions from data acquisition to production deployment. A proven leader with hands-on coding and strong communication will thrive here.