Head of Applied ML: Lead Fraud & Identity AI (Remote)

SentiLink; Seattle (WA); Hybrid; USD 210,000 - 260,000; Full time

Benefits offered by this job

Health insurance

401k match

Flexible PTO

Company events

Home office stipend

Job summary

SentiLink builds the fraud detection and identity verification models that power much of the US financial system. As Head of Applied ML, you own a major ML domain end to end and lead a team of 4 applied ML scientists, growing to 6 by 2026.

This is a people-management role with technical credibility: review PRs, shape modeling decisions, and mentor the team while collaborating with risk, product, and leadership to drive impactful ML initiatives.

Qualifications

• 10+ years of industry experience applying ML or statistics, or 7+ years with a relevant PhD, including 6+ years directly managing ML or data science teams across two companies or more.

Responsibilities

• Directly manage a team of applied ML scientists, 4 today and growing to 6 by end of 2026, and set the engineering and modeling practices they work by.
• Own strategy and execution for your applied ML domain: roadmap, priorities, resourcing, and results.
• Act as a technical mentor who can dive deep and give specific, useful direction. Guide modeling and architecture decisions, review PRs, and stay current on the codebase and production systems.
• Partner with senior leadership, Product, Engineering, and Risk to set priorities and deliver on aggressive timelines.
• Represent your domain in product strategy discussions and help shape where those products go next.
• Own SentiLink's fraud detection and identity models across the full lifecycle: data acquisition, feature engineering, labeling strategy, model training, experimentation, production deployment, monitoring, and iteration.
• Research emerging fraud patterns, build new ML capabilities for identity verification and financial risk, and design analyses that inform product and business decisions.
• Drive how the team uses AI in its own work, keep pushing the boundary on what that unlocks, and help define where AI belongs in our products.

Skills

Team leadership

Python

Production ML

Fraud risk

Data science

LLMs

Communication

Stakeholder comm

Education

PhD in quantitative field

Masters in CS

Tools

PyTorch

scikit-learn

MLflow

OpenAI API

Job description

SentiLink builds the fraud detection and identity verification models that power much of the US financial system. As Head of Applied ML, you own a major ML domain end to end and lead a team of 4 applied ML scientists, growing to 6 by 2026.

This is a people-management role with technical credibility: review PRs, shape modeling decisions, and mentor the team while collaborating with risk, product, and leadership to drive impactful ML initiatives.