Plaid

2 months ago

Machine Learning Engineer - Credit

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Build and deploy scalable machine learning systems for credit use cases, helping millions of users through Plaid’s fintech applications. Lead experimentation with advanced modeling approaches and strategies, and own AI/ML across the full lifecycle—from offline training to online serving, monitoring, and roadmap definition. Collaborate with engineers to ingest signals and productionize models, while diving deep into data and driving high-impact outcomes.

Location: San Francisco, Seattle, New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design, build, and deploy scalable ML solutions and systems in a production environment within the credit environment.
•Experiment with cutting-edge machine learning modeling techniques across high-impact credit use cases.
•Develop AI and machine learning models across the full lifecycle, from offline training to online serving and monitoring.
•Collaborate with engineers on ingesting signals and productionizing models, and help define the ML roadmap with cross-functional teams.
•Dive deep into data and apply data-driven decision-making while operating with high ownership on a bottom-up driven team.

Pay and Benefits

Salary: USD 228,960 - 315,360 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kEquity

Key Requirements

•6+ years of experience training and serving AI and machine learning models in a production environment.
•Experience in fintech lending and understanding how models are built in that space.
•Experience building or working with data-intensive backend applications in large distributed systems.
•Ability to code and iterate independently using tools such as Python, Spark, and Jupyter notebooks, plus standard ML libraries.
•Master’s degree or equivalent work experience in Computer Science, Mathematics, Engineering, or a closely related field.

Experience:6+ yearsFintechLendingMachine learningAICredit

Education:Master's in Computer Science, Mathematics, Engineering, or a closely related field

Skills:CreativityUser empathyTeamworkStrong ownershipData-driven decision-making

Tech Stack:PythonSparkJupyter notebooksNatural language processingAnomaly detectionOptimizationTime series forecastingMachine learning libraries

Company Brief

Plaid

Provides APIs that enable applications to connect with users’ bank accounts, verify financial data, and power payment and account verification workflows for fintechs and financial services companies.

Industry: Fintech Infrastructure

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Plaid

2 months ago

Machine Learning Engineer - Credit

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: San Francisco, Seattle, New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design, build, and deploy scalable ML solutions and systems in a production environment within the credit environment.
•Experiment with cutting-edge machine learning modeling techniques across high-impact credit use cases.
•Develop AI and machine learning models across the full lifecycle, from offline training to online serving and monitoring.
•Collaborate with engineers on ingesting signals and productionizing models, and help define the ML roadmap with cross-functional teams.
•Dive deep into data and apply data-driven decision-making while operating with high ownership on a bottom-up driven team.

Pay and Benefits

Salary: USD 228,960 - 315,360 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kEquity

Key Requirements

•6+ years of experience training and serving AI and machine learning models in a production environment.
•Experience in fintech lending and understanding how models are built in that space.
•Experience building or working with data-intensive backend applications in large distributed systems.
•Ability to code and iterate independently using tools such as Python, Spark, and Jupyter notebooks, plus standard ML libraries.
•Master’s degree or equivalent work experience in Computer Science, Mathematics, Engineering, or a closely related field.

Experience:6+ yearsFintechLendingMachine learningAICredit

Education:Master's in Computer Science, Mathematics, Engineering, or a closely related field

Skills:CreativityUser empathyTeamworkStrong ownershipData-driven decision-making

Tech Stack:PythonSparkJupyter notebooksNatural language processingAnomaly detectionOptimizationTime series forecastingMachine learning libraries

Company Brief

Plaid

Industry: Fintech Infrastructure

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn