# Head of Applied Machine Learning (ML)

Hiring organization: [SentiLink](https://career.thegoodapps.co/organizations/sentilink)

Canonical page: https://career.thegoodapps.co/jobs/470e2663-6d82-4516-98fb-0a89f868243f

Listed on SentiLink's own careers site. Applications go to them directly.

- Seniority: Senior
- Location: United States
- Remote: yes
- Salary: 210000 – 260000 USD per year

## Summary

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._

## Skills named

Amazon Web Services (AWS), Elasticsearch, LLMs (Large Language Models), MLflow, Neo4j, Pandas, PostgreSQL, Python, scikit-learn, XGBoost

## 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

Apply on SentiLink's site: https://jobs.ashbyhq.com/sentilink/ba414a52-687a-45ad-9e2c-eae5b977cfaf/application