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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 (Craft Ventures, Andreessen Horowitz, NYCA, Max Levchin), and recognized by Forbes, TechCrunch, and CNBC.
As Applied ML Manager for Application Fraud, you will lead a team of 4 applied ML scientists (growing to 6 by end of 2026), all technically experienced and capable of challenging you daily. This is a hands-on people management role where you remain close to the technical work—coaching, reviewing code, and contributing directly on high-impact problems.
Key responsibilities include:
- Direct management of the ML science team, setting engineering and modeling practices
- End-to-end ownership of execution: priorities, delivery, and measurable results
- Mentoring team members through model development, experimentation, and technical decision-making
- Hands-on involvement in code review and production systems
- Partnership with senior leadership, Product, Engineering, and Risk to prioritize and deliver impactful ML solutions
- Development and improvement of fraud detection and identity models across the full lifecycle: data acquisition, feature engineering, labeling strategy, model training, experimentation, production deployment, monitoring, and iteration
- Research into emerging fraud patterns and new ML capabilities for identity verification and financial risk
- Exploration of AI integration within products, with attention to AI safety and data governance
You'll work with Python 3, PostgreSQL, AWS, XGBoost, scikit-learn, pandas, Elasticsearch/OpenSearch, Neo4j, MLflow, Flyte, and modern LLM tooling. The role offers a clear growth path into strategic leadership spanning both product and ML domains. SentiLink operates as a digital-first company with offices across the US (Austin, San Francisco, NYC, Seattle, Los Angeles, Chicago) and India, supporting flexible work arrangements.
