Machine Learning Jobs at SentiLink with Visa Sponsorship
SentiLink builds fraud detection infrastructure using machine learning at its core, so ML roles here sit close to production systems and real financial data. 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.
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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 list every year since 2023. 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, 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
As Head of Machine Learning, Application Fraud at SentiLink, you will directly manage a team of talented data scientists that build our suite of products: models that identify fraudsters and also advance our growing suite of products in financial risk. In this capacity, you will be relied upon to be a technical leader, mentor, and owner of your respective domain, both for your own team and the organization. Utilize your abilities as a strong data scientist to mentor your team, probe their understanding, and challenge them to do their best work. Your team will often work on projects with high visibility and impact that require deep domain understanding, critical thinking, and strong technical abilities. This role requires managing full-stack data scientists, whose work involves model development, analysis, and writing production code. You yourself should share that same skillset and be interested in having end-to-end ownership in a fast-moving environment where deep domain understanding drives development and unusual insights drive our competitive advantage rather than optimization of new machine learning methodologies.
Technologies:
Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)
Responsibilities
- Directly manage a team of highly skilled data scientists. Start from 2-3 and grow to 5-6.
- Act as a technical mentor that can dive deep and provide detailed direction.
- Lead planning, resourcing, and communications with senior leadership, product, and engineering teams.
- Develop strong business intuition and guide your team to deliver performant DS solutions on aggressive timelines.
- Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring.
- Research new types of fraud and develop new SentiLink products around identity verification.
- Achieve success by researching/developing through iteration, integration of new data sources, and inventive feature engineering.
- Write production-ready code that can be relied on for real-time decision making by our partners.
- Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.
BASIC QUALIFICATIONS
- 10+ years relevant work experience & relevant Masters or 7+ years & relevant PhD.
- 2-5 years experience directly managing a team of data scientists, ideally in a startup environment.
- 3+ years of startup experience.
- Excellent communicator and team player.
- Proven track record of solving complex/high profile business problems with DS/ML solutions.
- Experience in communicating outcomes/progress to senior management/stakeholders.
- Very strong in “end to end” DS development: Planning, fleshing out success criteria/metrics, getting buy-in, developing the solution, delivering the solution (prod/deck/strategy doc/etc).
- Strong practical ML/Stats knowledge, i.e. can easily employ the suite of standard ML/stats tools to quickly scope out solutions, and double down where needed. Experience with SOTA ML solutions is a plus.
- Interest in developing deep domain expertise for product-focused work: a background in fraud is not required, but willingness to learn is.
- Experience writing production code and tests.
- Detail oriented and thoughtful—someone we can rely on to make business-changing decisions.
- Thrive in a fast-paced environment characterized by the need to solve extremely varied, high impact, open-ended problems.
- Bonus for familiarity with: identity solutions, fintech, or adjacent industries.
- 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 list every year since 2023. 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, 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
As Head of Machine Learning, Application Fraud at SentiLink, you will directly manage a team of talented data scientists that build our suite of products: models that identify fraudsters and also advance our growing suite of products in financial risk. In this capacity, you will be relied upon to be a technical leader, mentor, and owner of your respective domain, both for your own team and the organization. Utilize your abilities as a strong data scientist to mentor your team, probe their understanding, and challenge them to do their best work. Your team will often work on projects with high visibility and impact that require deep domain understanding, critical thinking, and strong technical abilities. This role requires managing full-stack data scientists, whose work involves model development, analysis, and writing production code. You yourself should share that same skillset and be interested in having end-to-end ownership in a fast-moving environment where deep domain understanding drives development and unusual insights drive our competitive advantage rather than optimization of new machine learning methodologies.
Technologies:
Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)
Responsibilities
- Directly manage a team of highly skilled data scientists. Start from 2-3 and grow to 5-6.
- Act as a technical mentor that can dive deep and provide detailed direction.
- Lead planning, resourcing, and communications with senior leadership, product, and engineering teams.
- Develop strong business intuition and guide your team to deliver performant DS solutions on aggressive timelines.
- Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring.
- Research new types of fraud and develop new SentiLink products around identity verification.
- Achieve success by researching/developing through iteration, integration of new data sources, and inventive feature engineering.
- Write production-ready code that can be relied on for real-time decision making by our partners.
- Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.
BASIC QUALIFICATIONS
- 10+ years relevant work experience & relevant Masters or 7+ years & relevant PhD.
- 2-5 years experience directly managing a team of data scientists, ideally in a startup environment.
- 3+ years of startup experience.
- Excellent communicator and team player.
- Proven track record of solving complex/high profile business problems with DS/ML solutions.
- Experience in communicating outcomes/progress to senior management/stakeholders.
- Very strong in “end to end” DS development: Planning, fleshing out success criteria/metrics, getting buy-in, developing the solution, delivering the solution (prod/deck/strategy doc/etc).
- Strong practical ML/Stats knowledge, i.e. can easily employ the suite of standard ML/stats tools to quickly scope out solutions, and double down where needed. Experience with SOTA ML solutions is a plus.
- Interest in developing deep domain expertise for product-focused work: a background in fraud is not required, but willingness to learn is.
- Experience writing production code and tests.
- Detail oriented and thoughtful—someone we can rely on to make business-changing decisions.
- Thrive in a fast-paced environment characterized by the need to solve extremely varied, high impact, open-ended problems.
- Bonus for familiarity with: identity solutions, fintech, or adjacent industries.
- 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
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Get Access To All JobsTips for Finding Machine Learning Jobs at SentiLink Jobs
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.
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.
Machine Learning at SentiLink jobs are hiring across the US. Find yours.
Find Machine Learning at SentiLink JobsFrequently 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 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.
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