--- title: 'Staff Machine Learning Engineer (Research Scientist) - DFAI at Plaid' canonical: 'https://feeny.ai/job/staff-machine-learning-engineer-research-scientist-dfai-plaid-san-francisco-5vpgm3zhzz5n' type: 'job' last_seen: '2026-09-10' --- # Staff Machine Learning Engineer (Research Scientist) - DFAI at Plaid - **Company:** [Plaid](https://feeny.ai/companies/plaid) - **Location:** San Francisco, CA - **Compensation:** $249k–$368k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-05-26 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.ashbyhq.com/plaid/dab31ae8-1e25-4b63-8008-d6930ff72369/application **Skills:** Transformers, LLMs, Foundation Models, Python, Distributed training, Machine learning infrastructure, Production deployment, Model monitoring, Fintech domain experience, Financial data domain experience, ML platform capabilities, Serving infrastructure, Feature stores > Lead the technical strategy and development of Plaid’s foundation models, overseeing the full ML lifecycle from pretraining to production serving. Mentor engineers, establish evaluation frameworks, and build scalable AI infrastructure to power financial products. ## Job description 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. We are the Data Foundation & AI team within Plaid’s Data organization. Our mission is to build the shared ML and AI infrastructure that powers intelligent capabilities across Plaid’s product suite. We develop the foundational systems, models, and data assets that transform Plaid’s unique financial network data into scalable, general-purpose representations that teams across the company can leverage. Our work spans the full ML lifecycle — from large-scale data curation and model pretraining to production serving, evaluation, and monitoring. As part of the team, you’ll work at the intersection of machine learning infrastructure, applied AI, and distributed systems, helping establish the core AI platform that enables innovation across Plaid. As a Staff Machine Learning Engineer, you will lead the technical strategy and development of Plaid’s foundation models, driving key decisions across pretraining objectives, model architecture, and fine-tuning approaches that power a wide range of downstream product applications. You will serve as the technical lead for the full machine learning lifecycle, overseeing everything from data curation and experimentation to production deployment, feature management, and observability. In this role, you will establish rigorous evaluation frameworks to measure model performance across diverse use cases and build scalable, repeatable pipelines that translate research into production impact. You will also partner closely with teams across the organization to define how products integrate with and adapt foundation models, enabling reusable ML infrastructure and reducing duplicated modeling efforts. As a senior technical leader, you will mentor engineers across experience levels, elevate engineering and experimentation standards, and communicate technical advancements both internally and externally as a representative of Plaid’s AI and machine learning capabilities. Responsibilities: - Owning the end-to-end technical strategy for a foundation model built on one of the world's richest financial datasets, from pretraining architecture to production serving. - Doing research that ships: driving decisions from experimentation through production systems that serve real customers and power multiple product teams. - Working across the full ML stack, including pretraining objectives, architecture design, distributed training, serving infrastructure, monitoring, and cross-team integration. - Setting technical direction and mentoring a high-caliber team, with your work amplifying the capabilities of engineers and product teams across Plaid. - Helping hundreds of millions of consumers achieve greater financial freedom through the ML capabilities you build and ship. Qualifications: - MS: 7–12+ years of industry experience with a demonstrated track record of technical leadership and production delivery. - PhD: 5–9+ years of industry experience with evidence of technical leadership (tech lead, principal/staff-equivalent roles) and end-to-end production ownership. - Prior technical leadership experience (tech lead, principal, or staff) with demonstrated cross-team influence and mentorship. - Deep expertise in Transformers/LLMs/Foundation Models, including large-scale training or domain adaptation. - End-to-end production ownership; proven track record shipping models through training, serving, monitoring, and iteration in live environments. - Distributed training experience and strong Python + software engineering fundamentals at a staff level. - Ability to drive technical alignment across teams: setting standards, defining integration patterns, and influencing beyond your immediate scope. - Fintech / financial data domain experience - Nice to have - External publications or open-source contributions - Nice to have - Experience defining ML platform capabilities (serving infra, feature stores) used across multiple teams. - Nice to have Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com. Please review our Candidate Privacy Notice [here](https://plaid.com/legal/#candidate-privacy-notice). Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. ## About Plaid ## Company Overview - **One-liner**: Plaid provides a data transfer network and technology platform that powers fintech and digital finance products by enabling applications to securely connect with users' bank accounts. - **Entity Type**: Private (Series D, late-stage) - **Headquarters**: San Francisco, California, United States - **Founded**: 2013 - **Founders**: Zach Perret, William Hockey ## Core Business - **Primary industry**: Financial Technology (Fintech) / Software Development - **Target customers**: B2B — fintech companies, digital financial services, banks, and developers (over 9,000 fintech partners) - **Mission or purpose statement**: "Make digital finance possible" and build a financial system that works for everyone. ## Products & Services - **[Account Linking & Auth]**: The gold standard in account linking with built-in fraud signals, identity verification, and high conversion rates. - **[Transactions, Balance, Identity, Assets, Investments, Liabilities]**: Enriched financial data products for building financial management experiences — categorized transactions, real-time balances, and merchant data. - **[Income & Employment]**: Verification and cash flow data for lending decisions. - **[Payment Initiation (Pay by Bank, Recurring, Payouts)]**: Bank payment solutions built for fintechs that move money at scale. - **[Monitor & Fraud Signals]**: Ongoing risk monitoring and identity verification tools. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed; raised $1.3B in total funding. - **Key Metric**: Total Funding of $1.3 billion; Annual Revenue estimated at $170M (per LinkedIn). - **Notable Investors/Partners**: Spark Capital (Seed lead), Index Ventures, Kleiner Perkins (Series C leads), Goldman Sachs Investment Partners (Series B lead). Partners with 12,000+ financial institutions across 20 countries. - **Growth Signals**: - 150M+ global users on the Plaid network. - 1M new daily connections across thousands of apps. - 55% YoY European customer growth. - Recognized on Time100 Most Influential Companies 2025. - Named on Forbes Fintech 50 for nine consecutive years. - Listed on Forbes Cloud 100. - Headcount grew 5.7% YoY to ~1,089 employees. ## Competitive Advantages - **Massive Network Effect**: Over 12,000 financial institutions and 9,000+ fintech partners create a powerful ecosystem that is difficult to replicate. - **Developer-First Platform**: High-quality APIs with 99.99% uptime, making Plaid the default infrastructure layer for fintech. - **Global Infrastructure**: Coverage across 20 countries (US, Canada, UK, France, Spain, Ireland, Netherlands, and more) with local expertise. - **Data Moat**: Access to enriched, real-time financial data (transactions, income, balances) that improves lending and fraud decisions. ## Strategic Focus - **European Expansion**: Strong emphasis on growing across Europe, with dedicated local teams and regulatory compliance. - **Payments & Money Movement**: Doubling down on bank payments (Pay by Bank, Payouts) to compete with card networks. - **AI & Engineering Velocity**: Investing in AI coding adoption and developer tooling to accelerate product delivery. - **Platform Expansion**: Moving beyond account linking into lending, identity, and fraud prevention. ## Why Work Here - **Engineering Culture**: Emphasizes a "growth mindset," bottoms-up innovation, and "all-in or nothing" commitment to long-term initiatives. Engineers are empowered to identify opportunities and ship quickly. - **Work Environment**: Vibrant offices in San Francisco (HQ), NYC, Raleigh-Durham, Seattle, and London. Offers catered meals, happy hours, and clubs. Remote options available in the US. - **Benefits**: Competitive pay, comprehensive health benefits (fertility, mental health, parental leave), home office stipends, daycare support, commuting benefits (CitiBike, Lyft). - **Team & Impact**: Over 900 team members across 6 offices globally. Described as a late-stage company that still operates like a startup — high autonomy and fast iteration. - **Growth**: Internship programs available; strong focus on career development and internal mobility. ## Sources 1. [plaid.com](https://plaid.com/) — Official website 2. [plaid.com/careers](https://plaid.com/careers/) — Careers page with benefits and culture 3. [plaid.com/company](https://plaid.com/company/) — About us / mission page 4. [plaid.com/engineering](https://plaid.com/engineering/) — Engineering culture page 5. [linkedin.com/company/plaid-](https://www.linkedin.com/company/plaid-) — LinkedIn profile with financials and headcount 6. [jobs.ashbyhq.com/plaid](https://jobs.ashbyhq.com/plaid) — Official job board ## Other roles at Plaid - [Corporate Counsel, Governance and Financial](https://feeny.ai/job/corporate-counsel-governance-and-financial-plaid-san-francisco-m1njc52y7b57) — San Francisco, CA - [Staff Product Manager, Credit](https://feeny.ai/job/staff-product-manager-credit-plaid-new-york-c10256rf054t) — New York, NY - [Senior Data Engineer - Data Engineering](https://feeny.ai/job/senior-data-engineer-data-engineering-plaid-san-francisco-npfse6fjchyj) — San Francisco, CA - [Technical Support Engineer](https://feeny.ai/job/technical-support-engineer-plaid-london-s5wrw6d3fjzf) — London, United Kingdom - [Senior Data Engineer](https://feeny.ai/job/senior-data-engineer-plaid-new-york-3d4bppdb194r) — New York, NY - [Revenue Enablement Leader](https://feeny.ai/job/revenue-enablement-leader-plaid-united-states-evakrqxr5mrb) — United States - [Senior Product Manager, Consumer](https://feeny.ai/job/senior-product-manager-consumer-plaid-san-francisco-jh39arek688r) — San Francisco, CA - [Revenue Operations Accountant](https://feeny.ai/job/revenue-operations-accountant-plaid-san-francisco-ehpj09gh3acf) — San Francisco, CA - [Enterprise Account Management Leader](https://feeny.ai/job/enterprise-account-management-leader-plaid-new-york-87yh5hg07c3n) — New York, NY - [Software Engineer, Full Stack](https://feeny.ai/job/software-engineer-full-stack-plaid-seattle-m83d415g9yfx) — Seattle, WA