Machine Learning Engineer Jobs at SentiLink with Visa Sponsorship
SentiLink builds fraud detection infrastructure that depends on machine learning at its core, so ML Engineers here work on high-stakes production systems, 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
We’re looking for a founding Senior Machine Learning Engineer to help scale and operationalize our ML systems end-to-end. This is a highly technical role focused on building the infrastructure, tooling, and processes that allow our Data Science team to develop, deploy, monitor, and iterate on machine learning models efficiently and safely. This person will be a foundational owner of our ML platform and will define the interfaces between Data Science, Engineering, and Infrastructure. You’ll work on systems that power real-time production ML, ensuring we can confidently ship models, measure their impact, and detect issues early. This is a high-ownership role for someone who wants to build ML systems that power real-world fraud prevention at scale.
Technologies:
Python, SQL, MLflow, Datadog, Grafana, Prometheus, Airflow/Dagster/Prefect, Docker, Kubernetes, AWS, PostgreSQL, Git, CI/CD pipelines, GitHub Actions.
Responsibilities
- Own SentiLink’s real-time ML model monitoring domain, leading the design, implementation, and ongoing improvement of monitoring systems and workflows.
- Own our ML experimentation, model tracking, and versioning infrastructure, ensuring strong reproducibility and visibility across the model lifecycle.
- Drive improvements to the model development process, reducing inefficiencies, improving code quality, resolving DS tooling gaps, and enabling faster iteration.
- Serve as the primary technical owner of key touchpoints and interfaces between Data Science and Engineering/Infrastructure, defining standards and workflows.
- Support efforts to optimize model behavior in production, including latency, reliability, maintainability, and operational best practices.
- Investigate and diagnose model performance issues on an ad-hoc basis, including partner escalations and analysis of model behavior in real-world scenarios.
- Evaluate, prototype, and recommend new ML infrastructure, tools, and data capabilities, partnering with DS to validate impact and support adoption.
REQUIREMENTS
- 5+ years of relevant experience, with a degree in Computer Science, Engineering, Mathematics, or a related technical field.
- Strong software engineering fundamentals, with proficiency in Python and SQL, and strong working knowledge of Git and modern CI/CD workflows.
- Hands-on experience with ML experimentation and model tracking tools.
- Strong proficiency with model monitoring and observability tooling.
- Experience with ML infrastructure and orchestration technologies, such as Docker, Kubernetes, and workflow orchestration frameworks.
- Familiarity with model serving and deployment frameworks.
- Proven experience deploying and operating machine learning models as production services, with an emphasis on reliability and performance.
- Demonstrated ability to build 0-to-1 prototypes and proof-of-concepts, rapidly standing up ML services and experimentation environments.
- Experience designing, building, and optimizing ML pipelines for training, evaluation, and deployment.
- Highly adaptable and able to learn quickly in fast-moving environments with evolving technical requirements.
- Candidates must be legally authorized to work in the United States and must live in the United States.
COMPENSATION
$170,000/year - $240,000/year + equity + benefits [across Senior & Staff level]
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
We’re looking for a founding Senior Machine Learning Engineer to help scale and operationalize our ML systems end-to-end. This is a highly technical role focused on building the infrastructure, tooling, and processes that allow our Data Science team to develop, deploy, monitor, and iterate on machine learning models efficiently and safely. This person will be a foundational owner of our ML platform and will define the interfaces between Data Science, Engineering, and Infrastructure. You’ll work on systems that power real-time production ML, ensuring we can confidently ship models, measure their impact, and detect issues early. This is a high-ownership role for someone who wants to build ML systems that power real-world fraud prevention at scale.
Technologies:
Python, SQL, MLflow, Datadog, Grafana, Prometheus, Airflow/Dagster/Prefect, Docker, Kubernetes, AWS, PostgreSQL, Git, CI/CD pipelines, GitHub Actions.
Responsibilities
- Own SentiLink’s real-time ML model monitoring domain, leading the design, implementation, and ongoing improvement of monitoring systems and workflows.
- Own our ML experimentation, model tracking, and versioning infrastructure, ensuring strong reproducibility and visibility across the model lifecycle.
- Drive improvements to the model development process, reducing inefficiencies, improving code quality, resolving DS tooling gaps, and enabling faster iteration.
- Serve as the primary technical owner of key touchpoints and interfaces between Data Science and Engineering/Infrastructure, defining standards and workflows.
- Support efforts to optimize model behavior in production, including latency, reliability, maintainability, and operational best practices.
- Investigate and diagnose model performance issues on an ad-hoc basis, including partner escalations and analysis of model behavior in real-world scenarios.
- Evaluate, prototype, and recommend new ML infrastructure, tools, and data capabilities, partnering with DS to validate impact and support adoption.
REQUIREMENTS
- 5+ years of relevant experience, with a degree in Computer Science, Engineering, Mathematics, or a related technical field.
- Strong software engineering fundamentals, with proficiency in Python and SQL, and strong working knowledge of Git and modern CI/CD workflows.
- Hands-on experience with ML experimentation and model tracking tools.
- Strong proficiency with model monitoring and observability tooling.
- Experience with ML infrastructure and orchestration technologies, such as Docker, Kubernetes, and workflow orchestration frameworks.
- Familiarity with model serving and deployment frameworks.
- Proven experience deploying and operating machine learning models as production services, with an emphasis on reliability and performance.
- Demonstrated ability to build 0-to-1 prototypes and proof-of-concepts, rapidly standing up ML services and experimentation environments.
- Experience designing, building, and optimizing ML pipelines for training, evaluation, and deployment.
- Highly adaptable and able to learn quickly in fast-moving environments with evolving technical requirements.
- Candidates must be legally authorized to work in the United States and must live in the United States.
COMPENSATION
$170,000/year - $240,000/year + equity + benefits [across Senior & Staff level]
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+ Machine Learning Engineer at SentiLink jobs
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Get Access To All JobsTips for Finding Machine Learning Engineer Jobs at SentiLink Jobs
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.
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.
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.
Machine Learning Engineer at SentiLink jobs are hiring across the US. Find yours.
Find Machine Learning Engineer at SentiLink JobsFrequently Asked Questions
Does SentiLink sponsor H-1B visas for Machine Learning Engineers?
SentiLink has sponsored work visas for Machine Learning Engineers, though H-1B 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 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, 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 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.
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