AI Data Engineer Jobs at SentiLink with Visa Sponsorship
AI Data Engineer jobs at SentiLink sit at the intersection of machine learning infrastructure and financial data pipelines, where the company builds identity fraud and risk intelligence products. The company has a track record of sponsoring work visas across multiple categories, making it a realistic target for international candidates in the data engineering space.
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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 Data Engineer Jobs at SentiLink
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Data Engineer Jobs at SentiLink.
Get Access To All JobsTips for Finding AI Data Engineer Jobs at SentiLink
Tailor your portfolio to fraud detection pipelines
SentiLink's core product is identity risk intelligence, so highlight projects involving anomaly detection, large-scale transaction data, or model monitoring infrastructure. Generic data engineering portfolios get filtered out fast at fintech companies with specialized use cases.
Confirm your visa category before applying
SentiLink sponsors EB-2, EB-3, F-1 OPT, and TN visas. If you're on OPT, confirm your STEM extension eligibility early. TN applicants in data engineering roles should be ready to show how the position satisfies a qualifying USMCA occupation category.
Surface your work authorization status upfront
Fintech hiring teams move quickly and route sponsorship-eligible candidates differently. Stating your visa type and timeline in your application materials prevents late-stage mismatches and keeps your candidacy on the right internal track from day one.
Align your resume to SentiLink's ML infrastructure stack
Job postings at SentiLink reference real-time data systems, feature engineering, and model deployment pipelines. Frame your experience around those specific functions rather than general cloud or ETL work. Recruiters at product-focused fintechs screen for stack alignment, not breadth.
Understand PERM timing if targeting EB-2 or EB-3
If your goal is permanent residence through SentiLink's EB-2 or EB-3 pathway, the PERM labor certification process with DOL typically adds 12 to 18 months before USCIS even begins adjudicating your I-140. Factor that into your planning before your first interview.
Use Migrate Mate to identify open AI Data Engineer roles
Tracking which companies are actively hiring and sponsoring in a niche like AI data engineering is time-consuming. Use Migrate Mate to filter SentiLink's open roles by visa type and see which positions are currently sponsorship-eligible without manually parsing job boards.
Frequently Asked Questions
Does SentiLink sponsor H-1B visas for AI Data Engineers?
SentiLink's documented sponsorship history covers EB-2, EB-3, F-1 OPT, and TN visas for technical roles. H-1B visa sponsorship is not explicitly listed in their confirmed categories for this function. If H-1B is your primary pathway, clarify sponsorship scope directly with the recruiter early in the process, before investing significant time in later interview rounds.
How do I apply for AI Data Engineer jobs at SentiLink?
Applications go through SentiLink's careers page. For international candidates, the strongest applications combine a resume aligned to SentiLink's fraud intelligence and ML infrastructure work with a clear statement of your work authorization status. You can also browse currently open AI Data Engineer roles at SentiLink filtered by sponsorship eligibility through Migrate Mate.
Which visa types are commonly used for AI Data Engineer roles at SentiLink?
SentiLink has sponsored F-1 OPT, TN, EB-2, and EB-3 visas for technical positions. F-1 OPT with STEM extension is common for recent graduates, giving up to three years of work authorization before employer-sponsored status is needed. TN is available to Canadian and Mexican nationals in qualifying technical occupations. EB-2 and EB-3 represent longer-term permanent residence pathways.
What qualifications does SentiLink expect for AI Data Engineer roles?
SentiLink's AI Data Engineer postings consistently emphasize experience with real-time data pipelines, feature store architecture, and ML model deployment. A background in Python, distributed systems, and financial or risk data environments is strongly preferred. Candidates who can demonstrate hands-on work with production-grade model monitoring infrastructure or fraud detection systems are prioritized over generalist data engineers.
How do I plan my timeline if I need visa sponsorship at SentiLink?
Timeline depends heavily on your current status. F-1 OPT candidates should apply with at least 90 days before OPT expiry to give employers runway for next steps. TN candidates can often start quickly since TN status is issued at the port of entry. For EB-2 or EB-3 sponsorship, expect the full PERM and I-140 process with USCIS and DOL to take well over a year from the date of hire.