Machine Learning Engineer Jobs at SentiLink with Visa Sponsorship
Machine Learning Engineer jobs at SentiLink involve working on high-stakes production systems built on fraud detection infrastructure that depends on machine learning at its core, not research prototypes. The company has a track record of sponsoring work visas for this function, covering both early-career and experienced candidates.
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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
See all Machine Learning Engineer Jobs at SentiLink
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Engineer Jobs at SentiLink.
Get Access To All JobsTips for Finding Machine Learning Engineer Jobs at SentiLink
Tailor your portfolio to fraud detection ML
SentiLink's ML work centers on identity fraud signals, anomaly detection, and high-throughput inference pipelines. Frame your portfolio projects around real-time scoring systems or imbalanced classification problems before you apply, not generic recommendation engines.
Confirm your visa type before applying
SentiLink sponsors F-1 OPT and TN alongside longer-term pathways. If you're nearing the end of OPT, verify whether your role qualifies for STEM OPT extension and build that timeline into your outreach so hiring managers aren't caught off guard.
Target roles requiring production ML experience
SentiLink posts ML Engineer roles that emphasize model deployment and monitoring, not just experimentation. Highlighting experience with feature stores, model serving infrastructure, or MLOps tooling aligns your application directly with what their job descriptions prioritize.
Ask about PERM timing during offer negotiation
EB-2 and EB-3 green card sponsorship through PERM typically takes 12 to 24 months before a priority date is even established. Clarify whether SentiLink initiates PERM concurrently with your first H-1B approval or waits until a later renewal cycle.
Search SentiLink openings through Migrate Mate
ML Engineer roles at visa-sponsoring companies fill quickly and aren't always flagged on general job boards. Use Migrate Mate to filter SentiLink's open positions by visa type so you're applying to roles confirmed to support your specific sponsorship pathway.
Prepare employer documents before your start date
For F-1 OPT, your employer completes E-Verify enrollment and you need an updated offer letter listing your exact role title and duties. Mismatches between your OPT authorization and your official job description can trigger USCIS scrutiny during a future H-1B petition.
Frequently Asked Questions
Does SentiLink sponsor H-1B visas for Machine Learning Engineers?
SentiLink has sponsored work visas for Machine Learning Engineers, though H-1B visa sponsorship is subject to the annual lottery administered by USCIS. The cap-subject H-1B lottery runs each March for an October start date, so timing your offer and application cycle to that window is essential. If you're already in H-1B visa status with another employer, a cap-exempt transfer may be possible.
Which visa types are commonly used for Machine Learning Engineer roles at SentiLink?
SentiLink has sponsored F-1 OPT, TN visa, EB-2, and EB-3 for this function. F-1 OPT is common for recent graduates and can be extended to 36 months under STEM OPT if your ML role qualifies. TN visa is available to Canadian and Mexican nationals in qualifying specialty occupations. EB-2 and EB-3 represent the longer-term Green Card pathways that require a PERM labor certification filed through DOL.
What qualifications and experience does SentiLink expect from Machine Learning Engineer candidates?
SentiLink's ML Engineer postings consistently emphasize production-grade experience: building and deploying models at scale, working with large structured datasets, and owning model performance in live environments. Proficiency in Python and familiarity with cloud infrastructure are standard expectations. Roles at the senior level typically require experience with fraud detection, risk modeling, or adjacent financial services domains, not just academic or research backgrounds.
How do I apply for Machine Learning Engineer jobs at SentiLink?
You can browse and apply for Machine Learning Engineer positions at SentiLink directly through Migrate Mate, which filters roles by visa sponsorship type so you can confirm your pathway before applying. When you apply, tailor your resume to emphasize production ML systems and model deployment experience. SentiLink's hiring process typically includes a technical screen, a take-home or live coding assessment, and a systems design interview focused on real-world ML applications.
How do I plan my timeline if I'm on F-1 OPT and targeting SentiLink?
If you're on F-1 OPT, you have up to 12 months of initial work authorization, extendable to 36 months under STEM OPT for qualifying ML roles. Start the H-1B registration process with your employer before your OPT expires, since USCIS opens registration in March and approvals take effect October 1. A gap between OPT expiration and H-1B start date can be bridged with a timely cap-gap extension if your I-20 is properly maintained.