Applied ML Manager - Lead Fraud & Identity Solutions

SentiLink; Austin (TX); Hybrid; USD 200,000 - 250,000; Full time

Benefits offered by this job

Employer paid group health insurance

401(k) plan with employer match

Flexible paid time off

Regular company-wide in-person events

Home office stipend

Job summary

SentiLink in the United States is seeking an Applied ML Manager to own a core area end to end and lead a team of 4–6 ML scientists. You’ll coach, review code, and contribute where it matters most, staying hands-on while driving production systems and ML governance.

Data science informs product decisions here, and you’ll shape strategy across fraud detection and identity verification, with strong collaboration across Product, Engineering, Risk, and leadership.

Qualifications

• 6+ years applying ML or statistics to real-world problems.
• 3+ years directly managing ML or data science teams.
• Experience in fraud/identity/fintech risk domains is preferred.
• Authorized to work in the United States.

Responsibilities

• Directly manage a team of applied ML scientists, 4 today and growing to 6 by 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

Communication

Mentoring

Hands-on coding

Strategic thinking

Education

Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Mathematics, Physics, or another quantitative discipline

Tools

Python

Job description

SentiLink in the United States is seeking an Applied ML Manager to own a core area end to end and lead a team of 4–6 ML scientists. You’ll coach, review code, and contribute where it matters most, staying hands-on while driving production systems and ML governance.

Data science informs product decisions here, and you’ll shape strategy across fraud detection and identity verification, with strong collaboration across Product, Engineering, Risk, and leadership.