# Applied Machine Learning (ML) Manager at SentiLink

- Company: SentiLink
- What the company does: SentiLink combines technology and expertise to help financial institutions stop identity fraud at the application stage. Backed by a16z and Felicis.
- Company website: https://www.sentilink.com
- Type: Startups (AI role)
- Level: Senior
- Location: United States
- Work setup: Remote
- Pay: $200K to $250K base salary per year (USD)
- Posted: 2026-08-21
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/sentilink/8365ef3f-8fac-4b52-b528-b5274f9ca39d
- Page: https://www.1752.vc/careers/jobs/sentilink-applied-machine-learning-ml-manager/

## About the role

Directly manage a team of applied ML scientists, 4 today and growing to 6 by the end of 2026, and help set the engineering and modeling practices they work by. Own execution for your area: priorities, delivery, and the results your team produces.

## What they're looking for

- 6+ years of industry experience applying machine learning or statistics to real-world problems, including 3+ years directly managing machine learning or data science teams. Experience at high-growth startups preferred
- Experience leading ML or data science teams in fraud, identity, fintech, banking, financial services, payments, or adjacent risk-focused domains, and interest in growing into ownership of product direction for that domain
- 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, plus experience writing production-quality Python code and tests
- Strong practical ML and applied statistics knowledge: able to scope solutions quickly with standard tooling and go deep where it pays off
- Comfortable working end to end, with a track record of measurable business impact: planning, defining success criteria, getting buy-in, building the solution, and delivering it, whether in production, in a deck, or as strategy

Tags: Data Science