Experienced Software Engineer – Machine Learning (Transactions Platform)


  • Full Time

We believe 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 infrastructure developers need 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 and 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 11,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Salt Lake City, Washington D.C., London and Amsterdam.

Transactions Platform gives Plaid products access to the full potential of transactions data, our largest and richest dataset. While the domain-specific interpretation of transactions varies wildly between use cases, the basics remain the same: “what type of transaction is this?”, “what are the recurring trends in this account’s history?”, “what merchants/organizations does this consumer interact with?”. The mission of Transactions Platform is to make answering these questions trivial, so that the Product teams can focus on their core competency, and not on building yet another regex pattern library. We take a holistic approach, from studying the data available and designing high-quality labeling pipelines to training ML models and implementing structural parsers.

As a member of our team, you’ll collaborate with product stakeholders (PMs, engineers) to determine the highest platform needs, and work to implement them. You’ll work on transaction similarity, entity recognition, and categorization models. You’ll have the opportunity to define machine learning strategy for the team and beyond, you’ll have the space to explore unsolved problems, and your work will impact millions of customers by bringing order to the chaotic world of financial data.


What excites you


  • Full end-to-end ownership of features, from ideation to production
  • Diving into loosely defined problems and figuring out a path forward
  • Building reusable solutions that will leverage your impact across a broad product surface

    What excites us


  • 5+ years of industry experience developing machine learning models from inception to business impact. 
  • Proven ability to tailor your solutions to business problems in a cross functional team.
  • Deep understanding of modern machine learning techniques and their mathematical models, such as classification, clustering, optimization, deep neural network and natural language processing.
  • Ability to code and iterate independently on top of data infrastructure tools like Python,  Spark, Jupyter notebooks, standard ML libraries, etc.
  • Strong product intuition and excitement to work fast and iteratively.
  • Data analytics and data engineering experience is a plus.
  • Bachelor’s degree or equivalent work experience in Computer Science, Mathematics, Engineering, Economics, or a closely related field
  • You’ve built machine learning systems from scratch
  • You’re not afraid to start with heuristics and rule-based solutions, yet you design for long-term ML system
  • You make decisions by consulting the data





    We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
    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.
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