ML Engineer Jobs at SentiLink with Visa Sponsorship
ML Engineer jobs at SentiLink involve building fraud detection infrastructure that relies heavily on machine learning, where engineers work on production models with direct business impact. The company has sponsored work visas for this function and supports pathways including F-1 OPT, TN visa, and employment-based Green Card sponsorship.
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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 31+ ML Engineer Jobs at SentiLink
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Get Access To All JobsTips for Finding ML Engineer Jobs at SentiLink
Align your ML portfolio to fraud detection
SentiLink's core product is identity fraud prevention, so projects involving anomaly detection, risk scoring, or classification models on tabular data will land far better than computer vision or NLP work when you're preparing your application materials.
Confirm TN eligibility before applying
If you hold a Canadian or Mexican passport, TN status is available for qualifying computer science or engineering roles without a lottery. Check that your degree field maps cleanly to a TN-eligible occupation before your first interview.
Start OPT paperwork the day you get your offer
F-1 students have a 60-day window to activate OPT after graduation. If your offer letter arrives close to that deadline, request your DSO file the I-765 immediately so your Employment Authorization Document arrives before your start date.
Surface your deployment experience in technical screens
SentiLink operates at fintech scale, so interviewers care whether you've shipped models to production, not just trained them. Frame your experience around latency constraints, monitoring, and retraining pipelines to match what their engineering team actually runs.
Clarify Green Card sponsorship timing during the offer stage
SentiLink has sponsored EB-2 and EB-3 pathways for this role. Ask your recruiter directly whether sponsorship begins after a performance review period or at a fixed tenure milestone, then verify that timeline fits your current visa status before signing.
Use Migrate Mate to filter SentiLink openings by visa type
ML Engineer postings at SentiLink vary in seniority and team focus. Use Migrate Mate to filter active roles by the specific visa types you're eligible for so you're only pursuing positions where sponsorship is already confirmed, not assumed.
Frequently Asked Questions
Does SentiLink sponsor H-1B visas for ML Engineers?
SentiLink's recent sponsorship activity for ML Engineers has focused on EB-2, EB-3, F-1 OPT, and TN pathways rather than H-1B visa. That doesn't mean H-1B is off the table entirely, but if your situation depends on H-1B cap sponsorship, confirm directly with the recruiting team during the offer stage rather than assuming it's available.
How do I apply for ML Engineer jobs at SentiLink?
Applications go through SentiLink's careers page. The interview process typically includes a recruiter screen, a take-home or live coding assessment focused on applied ML, and system design rounds. Migrate Mate lists active ML Engineer openings at SentiLink filtered by visa sponsorship eligibility, so you can confirm a role supports your visa type before investing time in the process.
Which visa types does SentiLink commonly use for ML Engineers?
SentiLink has sponsored F-1 OPT for recent graduates, TN status for Canadian and Mexican nationals with qualifying engineering or computer science degrees, and employment-based Green Card pathways at the EB-2 and EB-3 preference levels. Each pathway has different employer filing obligations, so clarifying which applies to your situation early in the offer process saves time for both sides.
What qualifications does SentiLink expect for ML Engineer roles?
Most ML Engineer roles at SentiLink expect a bachelor's or master's degree in computer science, statistics, or a closely related field, plus hands-on experience building and deploying models in production environments. Given their fraud detection focus, familiarity with supervised classification, feature engineering on structured data, and real-time inference systems is weighted heavily over research or generative AI backgrounds.
How do I time my visa filing if I accept an ML Engineer offer at SentiLink?
Timing depends on your current status. TN applicants can often start within weeks since TN is available at the port of entry. F-1 OPT requires USCIS to adjudicate the I-765, which can take 90 days or longer, so file as early as your DSO allows. For EB-2 or EB-3 Green Card sponsorship, PERM labor certification filing with DOL typically begins after an initial employment period and can take one to two years before you reach the immigrant visa stage.