AI ML Engineer Jobs at SentiLink with Visa Sponsorship
AI ML Engineer jobs at SentiLink sit at the intersection of applied research and production systems, where the company builds fraud and identity risk products powered by machine learning. The company has an established path for sponsoring international talent, including support for F-1 OPT transitions and employment-based Green Card categories.
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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 a Senior Applied ML Scientist at SentiLink, you will build our core products: models that identify fraudsters and also advance our growing suite of products in financial risk. As an experienced researcher, 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.
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
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
- 4+ years relevant work experience & relevant PhD or 6+ years & relevant Masters
- 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
- Bonus for familiarity with: identity solutions, fintech, or adjacent industries
- Experience working at a startup strongly preferred
- Thrive in a fast-paced environment characterized by the need to solve extremely varied, high impact, open-ended problems.
- Candidates must be legally authorized to work in the United States and must live in the United States
SALARY RANGE
- $200,000/year - $240,000/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 a Senior Applied ML Scientist at SentiLink, you will build our core products: models that identify fraudsters and also advance our growing suite of products in financial risk. As an experienced researcher, 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.
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
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
- 4+ years relevant work experience & relevant PhD or 6+ years & relevant Masters
- 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
- Bonus for familiarity with: identity solutions, fintech, or adjacent industries
- Experience working at a startup strongly preferred
- Thrive in a fast-paced environment characterized by the need to solve extremely varied, high impact, open-ended problems.
- Candidates must be legally authorized to work in the United States and must live in the United States
SALARY RANGE
- $200,000/year - $240,000/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 44+ AI ML Engineer Jobs at SentiLink
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Get Access To All JobsTips for Finding AI ML Engineer Jobs at SentiLink
Align your ML portfolio to fraud detection
SentiLink's core product is identity fraud prevention. Before applying, reframe your portfolio projects around anomaly detection, classification on imbalanced datasets, or graph-based identity modeling. Reviewers will connect your background to their domain faster.
Confirm OPT STEM extension eligibility early
AI ML Engineer roles at SentiLink fall under STEM-designated SOC codes, making you eligible for a 24-month OPT extension. Verify your degree program's CIP code qualifies with your Designated School Official before your initial OPT period starts running.
Ask about Green Card sponsorship during offer negotiation
SentiLink sponsors EB-2 and EB-3 categories, so ask the recruiter which pathway applies to your role and whether PERM labor certification is initiated within the first year. Getting this in writing sets clear expectations before you sign.
Target roles with production ML scope
SentiLink posts both research-leaning and production-focused ML roles. Positions with ownership over deployed models and latency-sensitive inference pipelines are more likely to meet the specialty occupation threshold USCIS applies when evaluating H-1B petitions.
Use Migrate Mate to surface SentiLink openings
SentiLink's sponsored AI ML Engineer positions don't always appear on general job boards with sponsorship flags intact. Use Migrate Mate to filter specifically for SentiLink roles that include visa sponsorship, so you're applying to verified openings.
Prepare for a technical screen on applied ML systems
SentiLink's interview process tests both modeling fundamentals and systems design for scale. Prepare to discuss feature engineering pipelines, model monitoring in production, and how you'd handle concept drift in a fraud detection context where ground truth labels are delayed.
Frequently Asked Questions
Does SentiLink sponsor H-1B visas for AI ML Engineers?
SentiLink has a history of supporting work visa sponsorship for technical roles, and AI ML Engineer positions fall within the specialty occupation framework that H-1B visa petitions require. Because the H-1B is subject to an annual cap and lottery, your timing matters. If you're already in a cap-exempt status or hold an H-1B with another employer, a transfer may be faster than waiting for the next lottery cycle.
How do I apply for AI ML Engineer jobs at SentiLink?
You can find AI ML Engineer openings at SentiLink through their careers page or through Migrate Mate, which surfaces roles filtered by visa sponsorship eligibility. Tailor your application to highlight production ML experience, particularly in domains involving structured tabular data, fraud signals, or risk modeling. SentiLink's process typically includes a recruiter screen, a technical assessment, and multiple engineering interviews.
Which visa types does SentiLink commonly use for AI ML Engineer roles?
SentiLink sponsors F-1 OPT for recent graduates, including the 24-month STEM OPT extension available to qualifying ML and computer science degree holders. For longer-term work authorization, the company supports employment-based Green Card categories including EB-2 and EB-3, which require a PERM labor certification filed with the DOL. TN visa status is also an option for Canadian and Mexican nationals whose role qualifies under USMCA occupation categories.
What qualifications does SentiLink expect for AI ML Engineer roles?
SentiLink's AI ML Engineer roles typically require a bachelor's or master's degree in computer science, statistics, or a closely related quantitative field. Practical experience building and deploying supervised learning models is expected, not just academic project work. Familiarity with Python-based ML frameworks, feature engineering at scale, and working with imbalanced or noisy datasets is directly relevant to their fraud and identity risk products.
How does the sponsorship timeline work for an AI ML Engineer at SentiLink?
If you're on F-1 OPT, you can begin working immediately while SentiLink files a STEM OPT extension before your initial period expires. H-1B sponsorship follows USCIS's October 1 start date, so your employer needs to file in March for a role starting in the fall. For Green Card sponsorship through PERM, the DOL labor certification process alone typically takes six months to over a year before the immigrant petition stage.