Senior Machine Learning Engineer - Credit

Plaid

Quick summary

Work type: On-site
Location: San Francisco, CANew York, NYSeattle, WA
Salary: $228,960–$315,360 / yr
Posted: 30 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $223k

This role $272k

$165k most similar roles pay here $331k

This role pays more than 87% of similar roles. Most pay $196,750–$249,750 — the shaded band above. At the midpoint, this role pays about $272k versus about $223k for comparable roles.

Based on 239 similar postings.

Employer

About Plaid

Plaid is a financial technology company that builds a data network powering digital finance applications, enabling consumers to securely connect their financial accounts to apps and services. Industry: Financial Technology & Data Infrastructure

Plaid currently has 98 open roles on FindRole.

Listed pay typically runs $190,800–$262,800 across 98 roles with salary data.

Most-posted roles

View all roles at Plaid

At a glance

TL;DR · Senior Machine Learning Engineer - Credit

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Plaid’s Data team seeks a senior machine learning engineer to drive high-impact projects within the credit environment. In this role, you will design and deploy scalable ML solutions, experiment with advanced modeling techniques, and collaborate on ingesting signals and productionizing models. You’ll own AI and ML work from offline training through online serving and monitoring, helping define the roadmap for cash flow-based underwriting. The ideal candidate has over six years of experience in fintech lending, expertise in Python, Spark, Jupyter notebooks, and standard machine learning libraries, and a strong track record of delivering business impact. This role requires deep data analysis skills, independent coding ability, and effective collaboration with both technical and non-technical teams.

Skills

Python Spark Jupyter TensorFlow Scikit-learn Keras PyTorch AWS Google Cloud Azure Docker Kubernetes CI/CD Prometheus Grafana PostgreSQL MongoDB Redis Git

What you'll do

Design, build, and deploy scalable ML solutions in a production environment.
Experiment with new modeling techniques for high-impact credit use cases.
Develop AI models across the full lifecycle from training to online monitoring.
Collaborate on defining the machine learning roadmap with cross-functional teams.
Dive deep into data to drive decision-making in day-to-day work.

What we're looking for

At least 6 years of experience in training and serving AI/ML models in production.
Strong background in fintech lending, including model building processes.
Experience with data-intensive backend applications in large distributed systems.
Proficient in Python, Spark, Jupyter notebooks, and standard ML libraries.
Demonstrated ability to drive projects from concept to business impact independently.
Effective collaboration skills across technical and non-technical teams.
Master’s degree or equivalent experience in Computer Science, Mathematics, Engineering.

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