SentiLink

SentiLink

Applied Machine Learning (ML) Manager

United States · Senior

No sponsorship$200k-$250kDetected 63 days ago
PythonCode ReviewPostgreSQLElasticsearchAWSMachine Learningscikit-learnPandasData ScienceLLMsMLOpsStatisticsA/B TestingProduct StrategyResearchLeadershipCollaborationMentoring

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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 help set the engineering and modeling practices they work by.
  • Own execution for your area: priorities, delivery, and the results your team produces.
  • Partner with senior leadership, Product, Engineering, and Risk to prioritize work and deliver impactful ML solutions.
  • Develop and improve 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.
  • SentiLink builds the fraud detection and identity verification models much of the US financial system runs on.
  • As an Applied ML Manager, you own a core area end to end.
  • You'll lead a team of 4 applied ML scientists, 6 by the end of 2026, all experienced and technically deep enough to challenge you daily.
  • Data science drives product decisions here, and the growth path from this role is strategic leadership in both the product and ML domains you own.
  • Develop and improve

Requirements

  • 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

  • Experience at high-growth startups preferred.

Skills

  • Python 3, PostgreSQL, AWS, XGBoost, scikit-learn, pandas, Elasticsearch and OpenSearch, Neo4j, MLflow, Flyte, and use of modern LLM tooling.

Compensation

  • $200,000-$250,000/year + equity + benefits

Benefits

  • Employer paid group health insurance for you and your dependents
  • Flexible paid time off
  • Home office stipend, and more!

Company info

  • We've been named to the Forbes Fintech 50 https://www.forbes.com/companies/sentilink/?list=fintech50 and as a 2026 FICO Industry Vanguard Decision Award Winner https://www.businesswire.com/news/home/20260330439998/en/SentiLink-Named-a-2026-FICO-Industry-Vanguard-Decision-Award-Winner-for-Leadership-in-Identity-Theft-Detection.
  • We are a digital-first company with strong collaboration across the U.S. and India, and we meet in person regularly to build relationships.
  • We offer generous benefits and support a range of working arrangements, from fully remote to in-office.

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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