Senior Machine Learning Engineer - Payments

Plaid

🔍 Observed

$226K - $337K USD

San Francisco First seen 3 weeks ago Last seen 1 hour, 30 minutes ago Lever

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Job Description

AI Summary

• Design, build, and deploy scalable machine learning solutions for Plaid's payments platform, working on production ML systems that impact millions of users across fintech applications • Requires 5+ years of experience training and serving ML models in production environments, with strong coding skills in Python, Spark, and standard ML libraries • Lead experimentation with cutting-edge ML techniques including NLP, anomaly detection, optimization, and time series forecasting across diverse product challenges • Collaborate cross-functionally with engineers and product teams to define ML roadmap, ingest signals, and productionize models from offline training to online serving • Plus factors include data engineering experience, NLP industry application, fintech background, and proven ability to drive projects independently with strong ownership mindset; remote role based in San Francisco

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. #LI-Remote

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 as a part of the core ML payments team, 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!

Responsibilities: 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 both 0-1 stage problems as well as 1-10. Develop AI/MLmodels in a full life cycle, from offline training to online serving and monitoring. Collaborate with teams across Plaid to define 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. Experience 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 NLP is a 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, or a closely related field.

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Job Information

Company:
Plaid
Location:
San Francisco
Job Type:
Full-Time
Experience Level:
Senior
Source:
Lever
Status:
Active

Activity Score

65 /100

Likely Active (65)

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