Jobs / United States / Plaid INC
Senior Machine Learning Engineer - Embedded Insights
Plaid INC · 🇺🇸 New York City Office; Seattle Office; San Francisco HQ
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 27 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 9 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Plaid INC paid sponsored hires in similar roles2 certified filings for “Senior Machine Learning Engineer” (Data Scientists) in NY: $170k–$226k, median $198k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Plaid INC
The US Department of Labor certified 27 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 9 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Plaid INC →
About the role
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. ABOUT THE TEAM The Embedded Insights team supports Plaid’s mission to build a world-class suite of intelligence products. We identify the best opportunities to use machine learning in Plaid products, prove out those opportunities, and collaborate with cross-functional partners to turn them into real-world production systems. ABOUT THE ROLE As a Senior Machine Learning Engineer on Embedded Insights, you will help shape Plaid’s future by building machine learning-powered products and features. You will initially support the Plaid App, working on a 0-to-1 consumer-facing product and helping establish product-market fit for a new business line. You will work closely with product managers, data scientists, engineers, customers, and other machine learning engineers to translate ambiguous opportunities into effective ML systems that create measurable customer value. In supporting the Plaid App, you will: - Build machine learning-based features for a 0-to-1 consumer-facing product. - Partner with product managers to translate ambiguous business requirements into machine learning problems and influence product strategy and roadmap decisions. - Rapidly iterate and experiment to help drive product-market fit for a new business line. - Work with Data Scientists to define success metrics and guardrails for new machine learning features. - Partner with MLEs across product areas to build effective data feedback loops. As a member of the broader Embedded Insights team, you will: - Analyze Plaid’s unique datasets to identify high-impact opportunities for machine learning and complete proofs of concept to validate them. - Embed with product teams and work closely with product and engineering partners to productionize models and deploy them in real-world, customer-facing products. - Optimize and maintain the health of existing models by developing new features, identifying effective retraining cadences, and creating metrics, alerts, and dashboards to monitor performance. - Communicate technical decisions, tradeoffs, and system behavior clearly to both technical and non-technical partners. WHAT EXCITES YOU - Shaping Plaid’s future as intelligence products become a core part of the company’s value proposition. - Working with one of the industry’s most unique datasets and helping define how Plaid can use it to create customer value. - Identifying and validating new machine learning opportunities across Plaid’s product suite. - Working across multiple product areas and developing a deep understanding of Plaid’s products and customers. - Building products that empower millions of people to achieve greater financial freedom and opportunity. - Working closely with customers to ensure products meet their needs and demonstrate meaningful impact. - Joining a high-ownership team where the greenfield opportunity is substantial. WHAT EXCITES US - 6+ years of experience in machine learning, including deploying models into real-w