Machine Learning Engineer - Embedded Insights

Plaid

Quick summary

Work type
On-site
Location
San Francisco, CANew York, NYSeattle, WA
Salary
$211,680–$272,160 / yr
Posted
2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $223k
This role $242k
$160k most similar roles pay here $284k

This role pays more than 67% of similar roles. Most pay $196,312–$249,750 — the shaded band above. At the midpoint, this role pays about $242k versus about $223k for comparable roles.

Based on 240 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 · Machine Learning Engineer - Embedded Insights

As a Machine Learning Engineer at the senior level on Plaid’s Embedded Insights team, you will drive machine learning initiatives from concept to production, working across the full model development lifecycle. You will leverage Plaid’s unique datasets to identify high-impact opportunities for machine learning, develop proofs of concept, and build MVP solutions that demonstrate customer value. Partnering closely with product managers, engineers, and other cross-functional stakeholders, you will embed within product teams to translate successful prototypes into scalable, customer-facing products. Responsibilities include maintaining and enhancing existing systems through feature development, retraining strategies, and robust monitoring frameworks, including metrics, alerts, and dashboards that ensure model performance and reliability. The role requires proficiency in Python, SQL, data visualization tools, and experience with large financial datasets.

What you'll do

  • Identify high-impact opportunities for machine learning using Plaid’s unique datasets.
  • Develop proofs of concept to validate new approaches in machine learning initiatives.
  • Build MVP solutions that demonstrate customer value and translate prototypes into scalable products.
  • Optimize models for new use cases, improve system scalability, and incorporate customer feedback.
  • Maintain and enhance existing machine learning systems through feature development and retraining strategies.
  • Implement robust monitoring frameworks including metrics, alerts, and dashboards to ensure model performance.

What we're looking for

  • 5+ years of experience in deploying machine learning models into real-world, customer-facing systems.
  • High agency and creativity to identify, define, and propose high-impact machine learning opportunities.
  • Advanced degree or equivalent work experience in Statistics, Economics, Mathematics, Data Science, or related field.
  • Proficiency in SQL, Python, and data visualization/analysis tools.
  • Ability to analyze large and complex financial datasets to derive insights.
  • Clear communication skills for explaining complex technical systems and decision-making.

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