Staff Machine Learning Engineer (Research Scientist) - DFAI

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🏢 ОфисSeniorПолная занятость

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Наша компания

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 financi

О роли

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

Чем предстоит заниматься

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

Наши требования

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!

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

Plaid

San Francisco HQ

ГрейдSenior

ЗанятостьПолная занятость

РегионНе Россия

ФорматОфис

ИсточникСкрыто

Опубликовано26 мая

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