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$210,000 – $260,000
Listed on SentiLink’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Lead a machine learning team building fraud detection and identity verification models for the US financial system. This role suits experienced ML leaders who want hands-on technical involvement, strategic influence over product decisions, and the chance to work on high-impact problems in fintech.
Our summary, not SentiLink’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- Elasticsearch
- LLMs (Large Language Models)
- MLflow
- Neo4j
- Pandas
- PostgreSQL
- Python
- scikit-learn
- XGBoost
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What they ask for
Required
- 10+ years applying machine learning or statistics to real-world problems, or 7+ years with a PhD including 6+ years managing ML or data science teams across two or more companies
- Bachelor's, Master's, or PhD in Computer Science, Statistics, Mathematics, Physics, or quantitative discipline
- Demonstrated success developing and deploying production machine learning models
- Production-quality Python code and testing experience
- Strong applied ML and statistics knowledge with ability to scope and solve problems
- End-to-end technical domain ownership with track record of measurable business impact
- Fluency with modern LLMs and AI-assisted development workflows
- Excellent communication with senior leadership and cross-functional teams
- Legal authorization to work in the United States and residence in the United States
Nice to have
- Experience leading ML or data science teams in fraud, identity, fintech, banking, financial services, payments, or adjacent risk domains
- Startup experience