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
We are seeking an AI Strategy and Process Lead to institutionalize the use of AI across core business processes. The mission of this role is to create increasing scale on costs by systematically identifying, implementing, and measuring AI-enabled improvements that drive meaningful productivity gains. Starting with two pilot functions, this leader will design a repeatable framework for AI opportunity identification, deployment, governance, and performance measurement. Success in this role will be defined by sustained, measurable improvements in cost efficiency, cycle time, and quality — and by building an internal capability that enables responsible, scalable AI adoption across the organization.
Responsibilities
AI Opportunity Identification and Prioritization:
- Partner with functional leaders to identify high-leverage processes suitable for AI enablement.
- Map workflows, quantify baseline performance (cost, time, quality), and prioritize opportunities based on ROI and feasibility.
- Develop clear business cases for AI investments, including expected impact and risks.
Implementation and Execution:
- Lead end-to-end deployment of AI tools and workflow redesign across pilot functions.
- Redesign processes to embed AI natively rather than layering tools onto existing inefficiencies.
- Coordinate cross-functionally to ensure adoption, training, and operational continuity.
- Ensure compliance with data security, privacy, and risk standards.
Measurement and Performance Management:
- Define standardized metrics to assess AI impact (e.g., cost per unit, throughput, error rates, headcount leverage).
- Establish dashboards and reporting cadences to track performance.
- Deliver sustained productivity improvements in pilot processes, with documented performance over at least six months.
- Present regular updates to executive leadership on outcomes, risks, and expansion opportunities.
Framework and Capability Building:
- Develop and document a repeatable AI evaluation and implementation framework.
- Create internal playbooks, governance guidelines, and training materials for responsible AI usage.
- Establish an intake process for AI ideas across the company.
- Expand the program beyond initial pilots as results are validated.
BASIC QUALIFICATIONS
- 5+ years of experience in process transformation, operations, automation, or strategic initiatives in a high-growth environment.
- Demonstrated success delivering measurable productivity, cost, or quality improvements.
- Strong analytical capability with comfort defining metrics and evaluating ROI.
- Practical familiarity with AI tools, workflow automation platforms, and modern productivity systems.
- Experience operating in regulated or data-sensitive environments is preferred.
- Proven ability to influence cross-functional stakeholders and drive adoption without direct authority.
- Excellent written and verbal communication skills, particularly with executive audiences.
This role is suited for a builder who combines operational rigor with pragmatic technical fluency. The focus is not experimentation for its own sake, but durable productivity gains and scalable institutional capability.
COMPENSATION
$140,000 - $220,000/year + equity + benefits
Note: This salary range is inclusive of multiple career levels, and the actual base salary within that range will be determined by several components including but not limited to the individual's education, experience, skills, and qualifications.
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 are seeking an AI Strategy and Process Lead to institutionalize the use of AI across core business processes. The mission of this role is to create increasing scale on costs by systematically identifying, implementing, and measuring AI-enabled improvements that drive meaningful productivity gains. Starting with two pilot functions, this leader will design a repeatable framework for AI opportunity identification, deployment, governance, and performance measurement. Success in this role will be defined by sustained, measurable improvements in cost efficiency, cycle time, and quality — and by building an internal capability that enables responsible, scalable AI adoption across the organization.
Responsibilities
AI Opportunity Identification and Prioritization:
- Partner with functional leaders to identify high-leverage processes suitable for AI enablement.
- Map workflows, quantify baseline performance (cost, time, quality), and prioritize opportunities based on ROI and feasibility.
- Develop clear business cases for AI investments, including expected impact and risks.
Implementation and Execution:
- Lead end-to-end deployment of AI tools and workflow redesign across pilot functions.
- Redesign processes to embed AI natively rather than layering tools onto existing inefficiencies.
- Coordinate cross-functionally to ensure adoption, training, and operational continuity.
- Ensure compliance with data security, privacy, and risk standards.
Measurement and Performance Management:
- Define standardized metrics to assess AI impact (e.g., cost per unit, throughput, error rates, headcount leverage).
- Establish dashboards and reporting cadences to track performance.
- Deliver sustained productivity improvements in pilot processes, with documented performance over at least six months.
- Present regular updates to executive leadership on outcomes, risks, and expansion opportunities.
Framework and Capability Building:
- Develop and document a repeatable AI evaluation and implementation framework.
- Create internal playbooks, governance guidelines, and training materials for responsible AI usage.
- Establish an intake process for AI ideas across the company.
- Expand the program beyond initial pilots as results are validated.
BASIC QUALIFICATIONS
- 5+ years of experience in process transformation, operations, automation, or strategic initiatives in a high-growth environment.
- Demonstrated success delivering measurable productivity, cost, or quality improvements.
- Strong analytical capability with comfort defining metrics and evaluating ROI.
- Practical familiarity with AI tools, workflow automation platforms, and modern productivity systems.
- Experience operating in regulated or data-sensitive environments is preferred.
- Proven ability to influence cross-functional stakeholders and drive adoption without direct authority.
- Excellent written and verbal communication skills, particularly with executive audiences.
This role is suited for a builder who combines operational rigor with pragmatic technical fluency. The focus is not experimentation for its own sake, but durable productivity gains and scalable institutional capability.
COMPENSATION
$140,000 - $220,000/year + equity + benefits
Note: This salary range is inclusive of multiple career levels, and the actual base salary within that range will be determined by several components including but not limited to the individual's education, experience, skills, and qualifications.
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 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.