AI Engineer Jobs at SentiLink with Visa Sponsorship
AI Engineer jobs at SentiLink sit at the intersection of machine learning infrastructure and financial fraud detection, as the company builds AI-driven identity verification technology. The company has a track record of supporting international talent through employer-sponsored visa pathways, making it a realistic target for skilled engineers who need work authorization.
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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. 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, 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 a Data Scientist at SentiLink, you will build our core products: models that identify fraudsters and also advance our growing suite of products in financial risk. This role is designed for new PhD graduates or early-career researchers interested in applying machine learning to real-world fraud detection. You'll build and ship machine learning models in a production environment, gaining hands-on experience across the full ML lifecycle, from research and development to deployment at scale. If you're looking for real-world AI and ML exposure in an industry setting, not just research papers, this is it.
We Have Open Roles On Multiple Teams Including
- Emerging Products - focuses on 0-to-1 development of new offerings brought to market
- Application Fraud - analyzes the foundational elements of consumer financial applications to detect all forms of fraud
- Identity - resolves identities across massive, often conflicting data sources (both digital and physical) and generates risk models from limited information
You will be relied upon to be technically capable and the definitive owner of your respective domain. You will often work on projects with high visibility and impact that require deep domain understanding, critical thinking, and strong technical abilities. You will work with teams across the company to research new types of fraud, develop new products, and provide analysis to drive sales and marketing. This is a full-stack data science role, involving model development, analysis, and writing production code. You should be interested in having end-to-end ownership and 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. This role can be remote within the U.S., with a strong preference for candidates who can work from our Austin, San Francisco, or New York offices.
TECHNOLOGIES:
Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)
Responsibilities
- 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.
- Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products.
- 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.
- Work with engineering, risk operations, and data acquisitions to access necessary data, maintain data quality, and support data access.
REQUIREMENTS
- Bachelor’s, Master’s, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field or equivalent experience/research
- Strong foundation in machine learning, statistics, or applied data science
- Experience with Python and common data science tools through coursework, research, internships, or personal projects
- Demonstrated ability to analyze complex problems and build data-driven solutions
- Strong communication skills and ability to explain technical ideas clearly
- Interest in learning deeply about fraud, identity, and financial risk systems
- Ability to write clean, maintainable code
- Strong attention to detail and curiosity about real-world data problems
- Candidates must be legally authorized to work in the United States and must live in the United States
- Thrive in a fast-paced environment characterized by the need to solve extremely varied, high impact, open-ended problems
SALARY RANGE
$120,000/year - $220,000/year + equity + benefits
Note: This salary range is inclusive of multiple career levels, and the actual base salary within that range will be determined by several components including but not limited to the individual's education, experience, skills, and qualifications.
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, 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 a Data Scientist at SentiLink, you will build our core products: models that identify fraudsters and also advance our growing suite of products in financial risk. This role is designed for new PhD graduates or early-career researchers interested in applying machine learning to real-world fraud detection. You'll build and ship machine learning models in a production environment, gaining hands-on experience across the full ML lifecycle, from research and development to deployment at scale. If you're looking for real-world AI and ML exposure in an industry setting, not just research papers, this is it.
We Have Open Roles On Multiple Teams Including
- Emerging Products - focuses on 0-to-1 development of new offerings brought to market
- Application Fraud - analyzes the foundational elements of consumer financial applications to detect all forms of fraud
- Identity - resolves identities across massive, often conflicting data sources (both digital and physical) and generates risk models from limited information
You will be relied upon to be technically capable and the definitive owner of your respective domain. You will often work on projects with high visibility and impact that require deep domain understanding, critical thinking, and strong technical abilities. You will work with teams across the company to research new types of fraud, develop new products, and provide analysis to drive sales and marketing. This is a full-stack data science role, involving model development, analysis, and writing production code. You should be interested in having end-to-end ownership and 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. This role can be remote within the U.S., with a strong preference for candidates who can work from our Austin, San Francisco, or New York offices.
TECHNOLOGIES:
Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)
Responsibilities
- 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.
- Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products.
- 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.
- Work with engineering, risk operations, and data acquisitions to access necessary data, maintain data quality, and support data access.
REQUIREMENTS
- Bachelor’s, Master’s, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field or equivalent experience/research
- Strong foundation in machine learning, statistics, or applied data science
- Experience with Python and common data science tools through coursework, research, internships, or personal projects
- Demonstrated ability to analyze complex problems and build data-driven solutions
- Strong communication skills and ability to explain technical ideas clearly
- Interest in learning deeply about fraud, identity, and financial risk systems
- Ability to write clean, maintainable code
- Strong attention to detail and curiosity about real-world data problems
- Candidates must be legally authorized to work in the United States and must live in the United States
- Thrive in a fast-paced environment characterized by the need to solve extremely varied, high impact, open-ended problems
SALARY RANGE
$120,000/year - $220,000/year + equity + benefits
Note: This salary range is inclusive of multiple career levels, and the actual base salary within that range will be determined by several components including but not limited to the individual's education, experience, skills, and qualifications.
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 32+ AI Engineer Jobs at SentiLink
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Engineer Jobs at SentiLink.
Get Access To All JobsTips for Finding AI Engineer Jobs at SentiLink
Tailor your portfolio to fraud detection
SentiLink's AI work centers on synthetic identity and credit risk modeling. Before applying, make sure your portfolio explicitly highlights anomaly detection, classification models, or NLP applied to structured financial or identity data, not just general ML projects.
Confirm your visa category early
SentiLink sponsors EB-2, EB-3, F-1 OPT, and TN visas. If you're on OPT, verify your STEM extension eligibility before your first interview so you can clearly tell the hiring team your authorization runway without prompting them to ask.
Address specialty occupation fit in your resume
For H-1B eligibility, USCIS requires the role to qualify as a specialty occupation. Frame your resume around the specific technical degree requirements for AI engineering work, not broad software competency, to support the employer's eventual LCA filing with DOL.
Target SentiLink's fintech-specific engineering teams
SentiLink organizes AI work around identity risk products, not generalist AI research. When reaching out to recruiters or applying, signal familiarity with fraud detection pipelines and real-time inference systems to align with the teams most likely to have active headcount.
Use Migrate Mate to surface open AI Engineer roles
SentiLink's sponsorship-eligible AI Engineer openings are not always easy to track across job boards. Use Migrate Mate to filter specifically for SentiLink roles that have active visa sponsorship, so you're only spending time on positions that match your authorization needs.
Clarify sponsorship timing before the offer stage
If you need PERM-based sponsorship for a Green Card, raise it after you receive an offer, not during screening. Employers in early-stage fintech often budget sponsorship case by case, and the conversation lands better once they've committed to you.
Frequently Asked Questions
Does SentiLink sponsor H-1B visas for AI Engineers?
SentiLink's documented sponsorship activity covers EB-2, EB-3, F-1 OPT, and TN visas for technical roles. H-1B visa sponsorship is not explicitly listed among their recent filings for AI Engineer positions. If an H-1B is your primary pathway, confirm sponsorship scope directly with the recruiter before advancing through the interview process, since employer willingness can vary by role and hiring cycle.
How do I apply for AI Engineer jobs at SentiLink?
Applications go through SentiLink's careers page, where AI Engineer roles are posted under their engineering or machine learning teams. You can also use Migrate Mate to browse SentiLink's sponsorship-eligible AI Engineer openings in one place, filtered by visa type. Tailor your application to highlight experience with identity verification, fraud modeling, or real-time ML systems, since those map directly to SentiLink's core product areas.
Which visa types are most commonly used for AI Engineer roles at SentiLink?
SentiLink has sponsored EB-2 and EB-3 immigrant visas as well as F-1 OPT for AI Engineer roles. TN status is also supported, which is relevant for Canadian and Mexican nationals in qualifying STEM occupations. Each pathway has different timelines: OPT authorization can begin immediately, while EB-2 and EB-3 PERM-based sponsorship typically takes one to several years depending on your country of birth and priority date.
What qualifications does SentiLink expect for AI Engineer roles?
SentiLink AI Engineer roles generally require a bachelor's or master's degree in computer science, statistics, or a closely related field, along with hands-on experience building and deploying machine learning models in production. Familiarity with fraud detection, identity risk scoring, or financial data pipelines is a strong differentiator. USCIS also requires that the role meet specialty occupation standards, so a directly relevant technical degree is essential for visa sponsorship eligibility.
How do I plan my timeline if I need sponsorship to work at SentiLink?
If you're on F-1 OPT, you have up to 12 months of work authorization after graduation, extendable to 36 months with STEM OPT approval from your DSO. For TN status, your employer can initiate the process relatively quickly since there is no lottery or annual cap. EB-2 and EB-3 green card sponsorship involves a PERM labor certification with DOL, followed by an I-140 petition with USCIS, so factor in a multi-year timeline for those pathways.