Qureos Mentor

Plaid

<div><div><h2 class="jobSectionHeader"><b>Location</b></h2>
<p>San Francisco HQ; New York City Office; Seattle Office</p>
</div><div><h2 class="jobSectionHeader"><b>Address</b></h2>
<p>1098 Harrison Street, San Francisco, California, 94103</p>
</div><div><h2 class="jobSectionHeader"><b>Employment Type</b></h2>
<p>Full time</p>
</div><div><h2 class="jobSectionHeader"><b>Location Type</b></h2>
<p>Hybrid</p>
</div><div><h2 class="jobSectionHeader"><b>Department</b></h2>
<p>All DepartmentsData</p>
</div><div><h2 class="jobSectionHeader"><b>Compensation</b></h2>
<ul><li>$211,680 &ndash; $272,160</li>
</ul><div><p>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.</p></div></div></div>
<br><div><div><p>We believe that the way people interact with their finances will drastically improve in the next few years. We&rsquo;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&rsquo;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, Washington D.C., London and Amsterdam.</p>
<p>The Data Foundation &amp; AI team sits within Plaid&rsquo;s Data organization and is responsible for building the shared machine learning and AI infrastructure that powers innovation across Plaid&rsquo;s product portfolio. The team transforms Plaid&rsquo;s unique financial network data into scalable, general-purpose representations that can be leveraged by teams throughout the company. Working across the full model lifecycle, the team develops and curates pretraining datasets, trains and evaluates foundation models, and operates production-grade serving and monitoring systems to ensure reliable, high-impact AI capabilities at scale.</p>
<p></p><p>As a Research Scientist, you will advance Plaid&rsquo;s foundation models by developing novel model architectures, pretraining objectives, and fine-tuning strategies that generalize across a broad range of financial and product applications. You will contribute to the design, development, and operation of production machine learning systems, working across the full stack from data and feature engineering to training pipelines, model serving, and monitoring. The role also involves creating comprehensive evaluation frameworks that assess model performance across diverse tasks and use cases, ensuring robust and reliable outcomes. In close partnership with product and engineering teams, you will adapt foundation models to solve specific business challenges, validate their impact through rigorous experimentation, and translate research advances into production capabilities. You will also share insights and results with both internal and external audiences, helping drive innovation and elevate the practice of machine learning and AI across Plaid.</p>
<p></p><p>Responsibilities:</p>
<ul><li><p>Building a foundation model on one of the world&rsquo;s richest financial datasets that no one else has.</p>
</li><li><p>Doing research that ships: moving from experimentation and prototypes to production systems serving real customers.</p>
</li><li><p>Working across the full ML stack, from pretraining objectives and architectures to serving infrastructure and monitoring.</p>
</li><li><p>Collaborating with a high-caliber team and seeing your work amplify the capabilities of multiple product teams.</p>
</li><li><p>Helping hundreds of millions of consumers achieve greater financial freedom through data-driven products.</p>
</li></ul><p>Qualifications:</p>
<ul><li><p>MS or PhD in ML/AI/CS/Stats/Applied Math (or closely related). PhD preferred but not required &mdash; candidates with equivalent industry research and production experience will be considered.</p>
</li></ul><ul><li><p>1-3 years of industry experience building and deploying ML models, with evidence of both research depth and production delivery</p>
</li><li><p>Strong applied ML research skills with production delivery experience</p>
</li><li><p>Depth in Transformers/LLMs, representation learning, or large-scale model training</p>
</li><li><p>Distributed training experience and strong Python + software engineering fundamentals</p>
</li><li><p>Fintech / financial data domain experience - Nice to have</p>
</li><li><p>Demonstrated ability to ship models to production (not just prototype) - Nice to have</p>
</li><li><p>External publications or open-source contributions - Nice to have</p>
</li></ul><p>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!</p>
<p>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.</p><br>
<p></p>
<p>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.</p>
Compensation Range: $211,680 - $272,160</div></div><p></p>

Machine Learning Engineer (Research Scientist) - DFAI

<div>
 We believe that the way people interact with their finances will drastically improve in the next few years. We&rsquo;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&rsquo;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, Washington D.C., London and Amsterdam.
 <br/>
 <br/>
 The Europe team operates as a startup within Plaid, dedicated to creating Europe-specific products that will expand Plaid&rsquo;s global footprint. Our mission is to develop groundbreaking Europe-specific payment and credit products that will revolutionise the financial landscape. We work hand-in-hand with product, GTM, and customers to ensure our solutions drive maximum impact and meet the unique needs of the European market.
 <br/>
 <br/>
 As a member of the Europe team, you'll have a significant opportunity to shape Plaid's direction and strategy in Europe. Your contributions will be highly visible and crucial to our success. You'll thrive in a fast-paced, agile startup environment, supported by the resources and stability of a well-established company.
 <br/>
 <br/>
 As a Software Engineer on the Europe team, you will collaborate closely with cross-functional teams to develop and improve Europe-specific payments and credit products. You will build frameworks and tooling to ensure Plaid has the most resilient and highest-performing integrations with European banks. You will work with engineering and product teams across Plaid to localise new and existing global Plaid products for the European market.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You will partner with other teams across Plaid, working closely with other engineering teams as well as Product, Design, Data Science, and more to iterate on and productionise new products and improve existing products.
  </li>
  <li>
   You will deeply understand client needs and architect solutions tailored to their use cases.
  </li>
  <li>
   You will own projects, step up as a trusted member of the team&rsquo;s on-call rotation, and follow best practices to increase overall system reliability.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2-5 years of experience as a product engineer working full-stack (backend-leaning).
  </li>
  <li>
   Excellent coding and testing skills.
  </li>
  <li>
   Experience working with large scale backend systems.
  </li>
  <li>
   [Nice to have] Experience working on payments products or in the payments space.
  </li>
  <li>
   [Nice to have] Experience working with Open Banking APIs.
   <br/>
   <br/>
  </li>
 </ul>
 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!
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 Please review our Candidate Privacy Notice here.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
</div>


Software Engineer

<div><div><h2 class="jobSectionHeader"><b>Location</b></h2>
<p>San Francisco HQ; Seattle Office</p>
</div><div><h2 class="jobSectionHeader"><b>Address</b></h2>
<p>1098 Harrison Street, San Francisco, California, 94103</p>
</div><div><h2 class="jobSectionHeader"><b>Employment Type</b></h2>
<p>Full time</p>
</div><div><h2 class="jobSectionHeader"><b>Location Type</b></h2>
<p>Hybrid</p>
</div><div><h2 class="jobSectionHeader"><b>Department</b></h2>
<p>All DepartmentsEngineering</p>
</div><div><h2 class="jobSectionHeader"><b>Compensation</b></h2>
<ul><li>Zone 1$190.8K &ndash; $262.8K</li>
</ul><div><p>The target base salary for this position ranges from $190,800/year to $262,800/year in Zone 1. The target base salary will vary based on the job's location.</p>
<p>Our geographic zones are as follows:</p>
<p>Zone 1 - San Francisco / New York City / Seattle</p>
<p>Zone 2 - Los Angeles / Washington DC / Austin / Boston / Sacramento / San Diego</p>
<p>Zone 3 - Atlanta / Portland / Chicago / Philadelphia / Denver / Miami / Dallas / Raleigh</p>
<p>Zone 4 - All other US cities</p>
<p>The base salary range listed for this full-time position excludes commission (if applicable), equity and benefits. The pay range shown on each job posting is the minimum and maximum target for new-hire salaries. Actual pay may be higher or lower depending on factors like skills, experience, and relevant education or training.</p></div></div></div>
<br><div><div><p>We believe that the way people interact with their finances will drastically improve in the next few years. We&rsquo;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&rsquo;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, Washington D.C., London and Amsterdam.</p>
<p>Making data driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively.</p>
<p>Engineers on Data Infrastructure are domain experts in Data Warehouse, Data Lakehouse, Spark, Workflow Orchestration, and Streaming technologies. We scale our existing data pipelines in a performant and cost efficient way while creating the necessary abstractions to make developing on top of this platform extremely simple for other engineers at Plaid.</p>
<p></p><p><b>Responsibilities</b></p>
<ul><li><p>Contribute towards the long-term technical roadmap for data-driven and machine learning iteration at Plaid</p>
</li><li><p>Leading key data infrastructure projects such as improving ML development golden paths, implementing offline streaming solutions for data freshness, building net new ETL pipeline infrastructure, and evolving data warehouse or data lakehouse capabilities.</p>
</li><li><p>Working with stakeholders in other teams and functions to define technical roadmaps for key backend systems and abstractions across Plaid.</p>
</li><li><p>Debugging, troubleshooting, and reducing operational burden for our Data Platform.</p>
</li><li><p>Growing the team via mentorship and leadership, reviewing technical documents and code changes.</p>
</li></ul><p></p><p><b>Qualifications</b></p>
<ul><li><p>5+ years of software engineering experience</p>
</li><li><p>Extensive hands-on software engineering experience, with a strong track record of delivering successful projects within the Data Infrastructure or Platform domain at similar or larger companies.</p>
</li><li><p>Deep understanding of one of: ML Infrastructure systems, including Feature Stores, Training Infrastructure, Serving Infrastructure, and Model Monitoring OR Data Infrastructure systems, including Data Warehouses, Data Lakehouses, Apache Spark, Streaming Infrastructure, Workflow Orchestration.</p>
</li><li><p>Strong cross-functional collaboration, communication, and project management skills, with proven ability to coordinate effectively.</p>
</li><li><p>Proficiency in coding, testing, and system design, ensuring reliable and scalable solutions.</p>
</li><li><p>Demonstrated leadership abilities, including experience mentoring and guiding junior engineers.</p>
</li><li><p>[Nice to have] Experience with Databricks, Airflow, AWS EMR</p>
</li></ul><p>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!</p>
<p>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.</p><br>
<p></p>
<p>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.</p></div></div><p></p>

Senior Software Engineer - Data Infrastructure

<div><div><h2 class="jobSectionHeader"><b>Location</b></h2>
<p>San Francisco HQ; Seattle Office</p>
</div><div><h2 class="jobSectionHeader"><b>Address</b></h2>
<p>1098 Harrison Street, San Francisco, California, 94103</p>
</div><div><h2 class="jobSectionHeader"><b>Employment Type</b></h2>
<p>Full time</p>
</div><div><h2 class="jobSectionHeader"><b>Location Type</b></h2>
<p>Hybrid</p>
</div><div><h2 class="jobSectionHeader"><b>Department</b></h2>
<p>All DepartmentsEngineering</p>
</div><div><h2 class="jobSectionHeader"><b>Compensation</b></h2>
<ul><li>Zone 1$190.8K &ndash; $262.8K</li>
</ul><div><p>The target base salary for this position ranges from $190,800/year to $262,800/year in Zone 1. The target base salary will vary based on the job's location.</p>
<p>Our geographic zones are as follows:</p>
<p>Zone 1 - San Francisco / New York City / Seattle</p>
<p>Zone 2 - Los Angeles / Washington DC / Austin / Boston / Sacramento / San Diego</p>
<p>Zone 3 - Atlanta / Portland / Chicago / Philadelphia / Denver / Miami / Dallas / Raleigh</p>
<p>Zone 4 - All other US cities</p>
<p>The base salary range listed for this full-time position excludes commission (if applicable), equity and benefits. The pay range shown on each job posting is the minimum and maximum target for new-hire salaries. Actual pay may be higher or lower depending on factors like skills, experience, and relevant education or training.</p></div></div></div>
<br><div><div><p>We believe that the way people interact with their finances will drastically improve in the next few years. We&rsquo;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&rsquo;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, Washington D.C., London and Amsterdam.</p>
<p>Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide golden datasets and tooling to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. In addition, Plaid will not be successful if we can't move quickly. We build the data systems and tools that enable everyone at Plaid to be data-driven, making analytics easy, obvious, and proactive across the company.</p>
<p>Data Engineers heavily leverage SQL and Python to build data workflows that integrate with our Golang applications. We use tools like DBT, Airflow, Redshift, Atlan, and Retool to orchestrate data pipelines and define workflows. We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset.</p>
<p>You will be in a high impact role that will directly enable business leaders to make faster and more informed business judgements based on the datasets you build. You will have the opportunity to carve out the ownership and scope of internal datasets and visualizations across Plaid which is a currently unowned area that we intend to take over and build SLAs on. You will have the opportunity to learn best practices and up-level your technical skills from our strong DE team and from the broader Data Platform team. You will collaborate with and have strong and cross functional partnerships with literally all teams at Plaid from Engineering to Product to Marketing/Finance etc.</p>
<p></p><p><b>Responsibilities</b></p>
<ul><li><p>Understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design and data usage principles.</p>
</li><li><p>Have data quality and performance top of mind while designing datasetsLeading key data engineering projects that drive collaboration across the company.</p>
</li><li><p>Advocating for adopting industry tools and practices at the right timeOwning core SQL and python data pipelines that power our data lake and data warehouse.</p>
</li><li><p>Well-documented data with defined dataset quality, uptime, and usefulness.</p>
</li></ul><p></p><p><b>Qualifications</b></p>
<ul><li><p>4+ years of dedicated data engineering experience, solving complex data pipelines issues at scale.</p>
</li><li><p>You&rsquo;ve have experience building data models and data pipelines on top of large datasets (in the order of 500TB to petabytes)</p>
</li><li><p>You value SQL as a flexible and extensible tool, and are comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow.</p>
</li><li><p>You have experience working with different performant warehouses and data lakes; Redshift, Snowflake, Databricks.</p>
</li><li><p>You have experience building and maintaining batch and realtime pipelines using technologies like Spark, Kafka.</p>
</li><li><p>You appreciate the importance of schema design, and can evolve an analytics schema on top of unstructured data.</p>
</li><li><p>You are excited to try out new technologies. You like to produce proof-of-concepts that balance technical advancement and user experience and adoption.</p>
</li><li><p>You like to get deep in the weeds to manage, deploy, and improve low level data infrastructure.</p>
</li><li><p>You are empathetic working with stakeholders. You listen to them, ask the right questions, and collaboratively come up with the best solutions for their needs while balancing infra and business needs.</p>
</li><li><p>You are a champion for data privacy and integrity, and always act in the best interest of consumers.</p>
</li></ul><p>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!</p>
<p>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.</p><br>
<p></p>
<p>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.</p></div></div><p></p>

Senior Data Engineer - Data Engineering

Join Plaid and explore 4   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Plaid

About Company

Machine Learning Engineer (Research Scientist) - DFAI

Software Engineer

Senior Software Engineer - Data Infrastructure

Senior Data Engineer - Data Engineering