Remote Applied ML Manager: Lead Fraud & Identity Models

SentiLink; San Francisco (CA); Hybrid; USD 200,000 - 250,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Flexible PTO

In-person events

Home office stipend

Job summary

SentiLink builds fraud detection and identity verification models powering much of the U.S. financial system. As Applied ML Manager, you will own a core area end to end and lead a team of 4 today, expanding to 6 by the end of 2026, staying hands-on where it matters.

You’ll coach, review code, and contribute directly while shaping engineering and modeling practices. Expect collaboration with senior leadership and cross‑team partnerships on high-impact ML solutions.

Qualifications

• 6+ years of industry experience applying machine learning or statistics to real-world problems.
• 3+ years directly managing machine learning or data science teams.
• Experience leading ML or data science teams in fraud/identity/fintech or risk domains.
• Production ML experience and production-quality Python code/tests.
• Strong practical ML and applied statistics knowledge.

Responsibilities

• Directly manage a team of applied ML scientists (4 today, growing to 6).
• Own execution for your area: priorities, delivery, and results.
• Coach and mentor team members through model development and production systems.

Skills

Machine Learning

Team Management

Python

Communication

Education

Bachelor’s in a quantitative field

Master’s degree in a quantitative field

PhD in a quantitative field

Tools

Python

PostgreSQL

AWS

XGBoost

scikit-learn

Pandas

Elasticsearch/OpenSearch

Neo4j

MLflow

Flyte

Job description

SentiLink builds fraud detection and identity verification models powering much of the U.S. financial system. As Applied ML Manager, you will own a core area end to end and lead a team of 4 today, expanding to 6 by the end of 2026, staying hands-on where it matters.

You’ll coach, review code, and contribute directly while shaping engineering and modeling practices. Expect collaboration with senior leadership and cross‑team partnerships on high-impact ML solutions.