SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
SentiLink is a Series B fintech company building identity verification and fraud detection solutions that power much of the US financial system. The company has achieved significant traction with real-time APIs verifying hundreds of millions of identities, backed by top-tier investors including Andreessen Horowitz and Craft Ventures, and recognized by Forbes as a Fintech 50 company.
As Head of Applied Machine Learning for the fraud detection and identity verification domain, you will lead a team of 4 applied ML scientists (growing to 6 by end of 2026) and own the complete ML lifecycle for fraud and identity models. This is a hands-on people management role where technical credibility is essential—you'll review code, guide modeling decisions, and stay deeply involved in the work while building strategic direction.
Key responsibilities include:
- Direct management of the applied ML team, setting engineering and modeling practices
- End-to-end ownership of fraud detection and identity verification models: data acquisition, feature engineering, labeling strategy, model training, experimentation, production deployment, monitoring, and iteration
- Strategic partnership with senior leadership, Product, Engineering, and Risk to set priorities and deliver on aggressive timelines
- Technical mentorship and guidance on modeling and architecture decisions
- Research into emerging fraud patterns and development of new ML capabilities
- Leadership on AI integration within the team's own workflows and thoughtful evaluation of where AI belongs in products
- Representation in product strategy discussions to shape future direction
The role requires 10+ years of industry ML/statistics experience (or 7+ with a PhD) including 6+ years managing ML/data science teams across multiple companies. Startup experience is strongly preferred. Experience in fraud, identity, fintech, banking, or financial services is strongly desired. You must have a strong track record of developing and deploying production ML models, writing production-quality Python code, and owning technical domains end-to-end with measurable business impact. Fluency with modern LLMs and AI-assisted workflows is expected, along with sound judgment on data governance and information security. The ideal candidate is an excellent communicator comfortable with senior leadership and cross-functional collaboration.
SentiLink operates as a digital-first company with offices in Austin, San Francisco, New York City, Seattle (Bellevue), Los Angeles, and Chicago in the US, plus Gurugram and Bengaluru in India. The company supports flexible work arrangements ranging from fully remote to in-office, though regular office presence is encouraged for those near locations.
