Experienced Machine Learning Engineer
Job Summary
Job Description
Plaid is seeking experienced Machine Learning Engineers to join their Data team. The role involves building models that enhance users' financial understanding and growth. Responsibilities include designing, building, and deploying scalable ML solutions and systems. The engineer will experiment with new modeling approaches like natural language processing, anomaly detection, optimization, and time series forecasting. Collaboration with engineers to ingest signals and productionize models is key. This position contributes to high-impact ML challenges aimed at improving financial freedom through AI/ML solutions.
Must have:
- Experience with state-of-the-art machine learning techniques
- Experience with NLP, anomaly detection, optimization, time series forecasting
- Ability to design, build, and deploy scalable ML solutions
- Creativity, user empathy, and teamwork skills
3 skills required
Job Details
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, Washington D.C., London and Amsterdam.
Plaid’s Data team is building models that improve how millions of users understand and grow their financial lives. We're looking for machine learning engineers with experience applying state-of-the-art machine learning and modeling techniques -- including natural language processing, anomaly detection, optimization, and time series forecasting -- toward different product areas. We value not only technical know-how, but also creativity, user empathy, and teamwork.
You’ll be a machine learning engineer as a part of the Data organization, contributing to diverse, high-impact machine learning challenges. Specifically, you will focus on designing, building and deploying scalable ML solutions and systems. You will lead the efforts to experiment with new modeling approaches and strategies, as well as collaborating closely with a skilled team of engineers on ingesting signals and productionizing these models. If you're interested in building the state of art AI/ML solutions to unblock financial freedom for everyone, let's chat!
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