Applied Machine Learning Manager – Application Fraud
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Job Description
Applied ML Manager leading teams developing fraud detection and identity verification models at SentiLink. Owning production ML, risk analysis, and product strategy for U.S. financial systems.
Responsibilities:
- Directly manage a team of applied ML scientists, growing from 4 to 6 by the end of 2026
- Set the engineering and modeling practices used by the team
- Own priorities, delivery, and results for the assigned area
- Coach and mentor team members through model development, experimentation, and technical decision-making
- Review code and contribute directly to production systems where needed
- Partner with senior leadership, Product, Engineering, and Risk to prioritize work and deliver ML solutions
- Communicate progress, tradeoffs, and results
- Represent the domain in product strategy discussions
- Develop and improve fraud detection and identity models across data acquisition, feature engineering, labeling, training, experimentation, deployment, monitoring, and iteration
- Research emerging fraud patterns and build ML capabilities for identity verification and financial risk
- Design analyses informing product and business decisions
- Use AI throughout the team's work and explore AI applications within products
Requirements:
- 6+ years of industry experience applying machine learning or statistics to real-world problems
- 3+ years directly managing machine learning or data science teams
- Experience leading ML or data science teams in fraud, identity, fintech, banking, financial services, payments, or adjacent risk-focused domains
- 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
- Experience writing production-quality Python code and tests
- Strong practical ML and applied statistics knowledge
- Experience planning, defining success criteria, getting buy-in, building solutions, and delivering measurable business impact
- Comfortable with modern LLMs and AI-assisted development workflows
- Sound judgment working with sensitive data under information security and data governance constraints
- Strong communication, mentoring, and technical hands-on abilities
- Must be legally authorized to work in the United States
- Must live in the United States
Benefits:
- Employer paid group health insurance for you and your dependents
- 401(k) plan with employer match
- Flexible paid time off
- Regular company-wide in-person events
- Home office stipend
- Equity
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