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.
Are you the right applicant for this opportunity Find out by reading through the role overview below.
Plaid’s Machine Learning 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 embedded on the Identity Verification team. In this position, you will focus on designing, building and deploying scalable ML solutions and systems to power our Identity Verification product.
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!
Responsibilities
- Utilizing Plaid’s massive network data to our customers verify the identity of their users and seamlessly stitches together verification methods.
- Build with impact. Your work will empower millions of users through well-known and emerging Fintech Applications with access to financial services.
- Experiment with cutting edge ML modeling techniques.
- Work on 0-1 stage problems.
- Develop AI / ML models in a full life cycle, from offline training to online serving and monitoring.
- Collaborate with teams across Identity Verification to define the data / ML roadmap.
- Dive deep into data and apply data driven decisions in day-to-day work.
- A high ownership, bottom-up driven team.
Qualifications
- 5+ years in training and serving AI / ML models in a production environment.
- 3+ years in building / working with data intensive backend applications in large distributed systems.
- Ability to code and iterate independently on top of data infrastructure tools like Python, Spark, Jupyter notebooks, standard ML libraries, etc.
- Take pride in taking ownership and driving projects to business impact.
- Data analytics and data engineering experience is a plus.
- Experience with the industry application of ML in Identity Verification solutions is a big plus.
- Experience with the FinTech industry is a plus.
- Ability to work with technical and non-technical teams.
- Master's degree or equivalent work experience in Computer Science, Mathematics, Engineering, Operation Research, or a closely related field.
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