Machine Learning Jobs at SentiLink with Visa Sponsorship
Machine Learning jobs at SentiLink sit close to production systems and real financial data, as the company builds fraud detection infrastructure with ML at its core. The company has a track record of sponsoring employment-based and OPT candidates for technical positions, making it a realistic target if you're building a U.S. immigration pathway through ML work.
Find Machine Learning Jobs at SentiLinkOverview
Showing 5 of 43+ Machine Learning Jobs at SentiLink
See all 43+ Machine Learning Jobs at SentiLink
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Jobs at SentiLink.
Get Access To All JobsINTRODUCTION
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate. We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV and testified before the United States House of Representatives on the future of identity. SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle (Bellevue), Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.
ROLE
SentiLink builds the fraud detection and identity verification models much of the US financial system runs on. As Head of Applied ML, you own a major ML domain 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. This is a people management role that stays close to the work. Technical credibility is non-negotiable: you'll review PRs, push on modeling decisions, and unblock the team. Data science drives product decisions here, and we expect you to become a strategic leader in both the product and ML domains you own. We use AI across all of our work, are exploring where it belongs in the products themselves, and hold a hard line on AI safety and data governance.
TECHNOLOGIES:
Python 3, PostgreSQL, AWS, XGBoost, scikit-learn, pandas, Elasticsearch and OpenSearch, Neo4j, MLflow, Flyte, and use of modern LLM tooling.
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.
- 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.
REQUIREMENTS
- 10+ years of industry experience applying machine learning or statistics to real-world problems, or 7+ years with a relevant PhD, including 6+ years directly managing machine learning or data science teams across two companies or more. Startup experience strongly preferred.
- 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.
- 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.
- Very strong end to end, with a track record of owning a technical domain and driving it to 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.
- Fluent with modern LLMs and AI-assisted development workflows, and opinionated about where they help and where they don't. Sound judgment when working with sensitive data under real information security and data governance constraints.
- Excellent communicator, including with senior leadership and cross-functional stakeholders. Detail oriented and thoughtful, someone we can rely on to make business-changing decisions while thriving on varied, open-ended, high-impact problems.
- Candidates must be legally authorized to work in the United States and must live in the United States.
COMPENSATION
$210,000-$260,000/year + equity + benefits
PERKS
- Employer paid group health insurance for you and your dependents
- 401(k) plan with employer match (or equivalent for non US-based roles)
- Flexible paid time off
- Regular company-wide in-person events
- Home office stipend, and more!
CORPORATE VALUES
- Follow Through
- Deep Understanding
- Whatever It Takes
- Do Something Smart
INTRODUCTION
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate. We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV and testified before the United States House of Representatives on the future of identity. SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle (Bellevue), Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.
ROLE
SentiLink builds the fraud detection and identity verification models much of the US financial system runs on. As Head of Applied ML, you own a major ML domain 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. This is a people management role that stays close to the work. Technical credibility is non-negotiable: you'll review PRs, push on modeling decisions, and unblock the team. Data science drives product decisions here, and we expect you to become a strategic leader in both the product and ML domains you own. We use AI across all of our work, are exploring where it belongs in the products themselves, and hold a hard line on AI safety and data governance.
TECHNOLOGIES:
Python 3, PostgreSQL, AWS, XGBoost, scikit-learn, pandas, Elasticsearch and OpenSearch, Neo4j, MLflow, Flyte, and use of modern LLM tooling.
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.
- 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.
REQUIREMENTS
- 10+ years of industry experience applying machine learning or statistics to real-world problems, or 7+ years with a relevant PhD, including 6+ years directly managing machine learning or data science teams across two companies or more. Startup experience strongly preferred.
- 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.
- 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.
- Very strong end to end, with a track record of owning a technical domain and driving it to 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.
- Fluent with modern LLMs and AI-assisted development workflows, and opinionated about where they help and where they don't. Sound judgment when working with sensitive data under real information security and data governance constraints.
- Excellent communicator, including with senior leadership and cross-functional stakeholders. Detail oriented and thoughtful, someone we can rely on to make business-changing decisions while thriving on varied, open-ended, high-impact problems.
- Candidates must be legally authorized to work in the United States and must live in the United States.
COMPENSATION
$210,000-$260,000/year + equity + benefits
PERKS
- Employer paid group health insurance for you and your dependents
- 401(k) plan with employer match (or equivalent for non US-based roles)
- Flexible paid time off
- Regular company-wide in-person events
- Home office stipend, and more!
CORPORATE VALUES
- Follow Through
- Deep Understanding
- Whatever It Takes
- Do Something Smart
See all 43+ Machine Learning Jobs at SentiLink
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Jobs at SentiLink.
Get Access To All JobsTips for Finding Machine Learning Jobs at SentiLink
Frame your ML work around fraud detection
SentiLink's core product is identity and fraud intelligence, so position your experience around anomaly detection, risk scoring, or model reliability in high-stakes environments. Generic ML credentials matter less than demonstrated applied work that mirrors their domain.
Verify your OPT timeline before applying
F-1 OPT gives you 12 months of work authorization, with a 24-month STEM extension if your degree qualifies. Confirm your remaining OPT window aligns with SentiLink's typical ML interview cycle before submitting, so you're not cutting the timeline close at the offer stage.
Ask directly about sponsorship scope during interviews
SentiLink sponsors EB-2 and EB-3 green card pathways in addition to OPT. Once you reach the offer stage, ask HR whether the role is eligible for PERM-based sponsorship and what their expected filing timeline looks like after your start date.
Target roles requiring production ML experience
SentiLink prioritizes candidates who've shipped models to production, not just built in research environments. Emphasize end-to-end ownership, including feature engineering, deployment, and monitoring, since these signal readiness for their infrastructure-heavy ML work.
Use Migrate Mate to filter SentiLink ML openings by visa type
Not every open role at a company is actively tied to sponsorship at the same time. Use Migrate Mate to filter SentiLink's Machine Learning jobs specifically by the visa types you need, so you're applying to positions already matched to your authorization pathway.
Understand TN eligibility if you hold Canadian or Mexican citizenship
SentiLink sponsors TN visas, which don't require USCIS approval and can be granted at the port of entry for eligible citizens. If you qualify, TN is a faster path to starting work than H-1B, but your job offer must specifically list a qualifying TN occupation category like Computer Systems Analyst or Mathematician.
Frequently Asked Questions
Does SentiLink sponsor H-1B visas for Machine Learning roles?
SentiLink's confirmed sponsorship activity covers EB-2, EB-3, F-1 OPT, and TN visas for technical roles. H-1B visa sponsorship isn't reflected in their recent filings for Machine Learning positions, so if you're currently on H-1B status or need a transfer, confirm directly with their recruiting team whether the specific role you're targeting supports that pathway before investing heavily in the application process.
How do I apply for Machine Learning jobs at SentiLink?
Applications go through SentiLink's careers page, where ML roles are listed under engineering or data science categories. Tailor your resume to highlight production ML experience, especially in areas like fraud, risk, or financial data, since that's where their systems operate. Migrate Mate also lists SentiLink's open Machine Learning positions filtered by visa sponsorship eligibility, which helps you target the right roles from the start.
Which visa types does SentiLink commonly use for Machine Learning hires?
SentiLink has sponsored F-1 OPT candidates and employment-based green card petitions under EB-2 and EB-3 for technical roles. TN visas are also a supported pathway for Canadian and Mexican citizens in qualifying occupations. Each visa type has different timing requirements, so align your application timeline with whichever category matches your current status and degree background.
What qualifications does SentiLink expect for Machine Learning roles?
SentiLink typically hires ML engineers with strong foundations in applied statistics and hands-on experience building and deploying models in production environments. A bachelor's or master's degree in computer science, statistics, or a related quantitative field is standard. Experience with fraud detection, identity verification, or financial risk modeling is a meaningful differentiator given the company's core product focus.
How do I think about the timeline for green card sponsorship at SentiLink?
EB-2 and EB-3 sponsorship through the PERM labor certification process typically begins after you've established yourself in the role, often after your first year. PERM itself can take six to twelve months with DOL before USCIS receives the I-140 petition. Priority date backlogs vary significantly by country of birth, so if you're from India or China, factor those wait times into your long-term planning well before your OPT or TN expires.