AI ML Engineering Jobs at SentiLink with Visa Sponsorship
SentiLink builds fraud detection and identity verification infrastructure, and its AI ML Engineering roles sit at the core of that mission. The company has a track record of sponsoring international talent across multiple visa categories, making it a viable target if you're building a U.S. career in machine learning.
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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 29+ AI ML Engineering at SentiLink jobs
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Get Access To All JobsTips for Finding AI ML Engineering Jobs at SentiLink Jobs
Frame your ML portfolio around fraud detection
SentiLink's products center on identity risk and synthetic fraud. Tailor your GitHub projects, papers, or case studies to show anomaly detection, classification at scale, or signal modeling. Reviewers notice when your background maps directly to their problem space.
Verify your OPT or TN timeline before applying
If you're on F-1 OPT, confirm your STEM extension eligibility and remaining authorized days before your first interview. SentiLink has sponsored TN for qualifying Canadian and Mexican nationals, so know which treaty category your ML role fits before the offer stage.
Target roles requiring production ML experience
SentiLink's engineering positions consistently emphasize building and deploying models in production, not just research. Highlight distributed training pipelines, model monitoring, and latency-sensitive inference work. These details move your application past the initial screen at a company this stage.
Ask about PERM timing during the offer stage
If your goal is a Green Card through EB-2 or EB-3, raise it before you sign. Ask the recruiter whether the company initiates PERM concurrently with your first H-1B year. Early clarity prevents a situation where sponsorship support stalls after your initial status expires.
Use Migrate Mate to filter open AI ML roles
Sponsorship-willing employers can be hard to identify from standard job boards. Use Migrate Mate to filter SentiLink's AI ML Engineering openings by visa type, so you only spend time on roles where your status is already a confirmed fit.
Prepare a degree equivalency brief for USCIS
H-1B specialty occupation petitions require your degree to align with the specific ML role. If your undergraduate field differs from computer science or statistics, document how your coursework or credentials map to the position before USCIS requests evidence of equivalency.
AI ML Engineering at SentiLink jobs are hiring across the US. Find yours.
Find AI ML Engineering at SentiLink JobsFrequently Asked Questions
Does SentiLink sponsor H-1B visas for AI ML Engineers?
SentiLink has a history of sponsoring work visas for technical roles, and H-1B is the most common pathway for AI ML Engineering positions at U.S. technology companies. Because H-1B approvals depend on the annual lottery, it's worth confirming the company's specific approach to cap-subject filings and whether they support premium processing during your offer negotiation.
Which visa types are commonly used for AI ML Engineering roles at SentiLink?
SentiLink has sponsored across multiple visa categories for technical talent, including F-1 OPT (and STEM OPT extension), TN for eligible Canadian and Mexican nationals working in qualifying computer science roles, and employment-based Green Card pathways including EB-2 and EB-3. The right category depends on your citizenship, degree field, and how long you need authorization before a Green Card petition matures.
What qualifications or experience does SentiLink expect for AI ML Engineering roles?
SentiLink's ML roles consistently require hands-on experience building and deploying models in production environments, not just academic or research work. Familiarity with fraud detection, identity verification, or risk modeling is a strong differentiator. Most posted roles expect proficiency in Python, experience with large-scale data pipelines, and comfort working in cross-functional product teams.
How do I apply for AI ML Engineering jobs at SentiLink?
Browse current AI ML Engineering openings at SentiLink through Migrate Mate, which filters listings by visa sponsorship type so you can confirm your status is supported before applying. Once you identify a role, apply directly through SentiLink's careers page and tailor your resume to highlight production ML systems, relevant domain experience, and any prior work with fraud or identity data.
How do I manage the timeline from offer to work authorization at SentiLink?
Timeline depends heavily on your current status. F-1 OPT holders can begin work immediately if authorization is active, but should track their OPT expiration and STEM extension window carefully. H-1B cap filings open each March for an October 1 start, so a spring offer may require a gap or a cap-exempt bridge arrangement. TN status can typically be obtained at the port of entry within days of receiving a qualifying offer letter.
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