SentiLink
Head of Applied Machine Learning (ML)
United States · Senior
No sponsorship$210k-$260kDetected 63 days ago
PythonPostgreSQLElasticsearchAWSMachine Learningscikit-learnPandasData ScienceLLMsMLOpsStatisticsA/B TestingProduct StrategyResearchLeadershipCollaboration
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odds of building a lasting career here
59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- SentiLink https://www.sentilink.com/ stops more than 150,000 fraud attempts and verifies more than 3 million identities every day to protect both institutions and consumers.
- The problems we work on are challenging, and solving them takes deep domain expertise, rigorous analysis, and a willingness to dig into the details.
- At SentiLink, you'll work alongside smart, highly collaborative colleagues who respect each other's time and judgment, take ownership, and follow through on their commitments.
Responsibilities
- Directly manage a team of applied ML scientists, 4 today and growing to 6 by the 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.
- Partner with senior leadership, Product, Engineering, and Risk to set priorities and deliver on aggressive timelines.
- 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.
Requirements
- Experience leading ML or data science teams in fraud, identity, fintech, banking, financial services, payments, or adjacent risk-focused domains.
- Strongly desired, but not strictly required.
- Bachelor's, Master's, or PhD in Computer Science, Statistics, Mathematics, Physics, or another quantitative discipline.
- Candidates must be legally authorized to work in the United States and must live in the United States.
Nice to have
- Startup experience strongly preferred.
Skills
- Python 3, PostgreSQL, AWS, XGBoost, scikit-learn, pandas, Elasticsearch and OpenSearch, Neo4j, MLflow, Flyte, and use of modern LLM tooling.
- Technical credibility is non-negotiable:
- Technologies:
Compensation
- $210,000-$260,000/year + equity + benefits
Benefits
- Employer paid group health insurance for you and your dependents
- Flexible paid time off
- Home office stipend, and more!
Visa & Work Authorization
- Candidates must be legally authorized to work in the United States and must live in the United States.
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