Stripe

1 month ago

Machine Learning Engineer, Capital Underwriting

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Machine learning engineer responsible for designing, building, training, evaluating, deploying, and owning ML models in production for Stripe Capital, collaborating with software engineers, data scientists, product managers, and risk managers to deliver scalable ML-powered financing solutions.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design state-of-the-art ML models and large scale ML systems for underwriting and portfolio management for Stripe Capital based on ML principles, domain knowledge, risk, regulatory and engineering constraints
•Design systems to speed up the time from idea to deployment of new models
•Experiment and iterate on ML models (using tools such as PyTorch and TensorFlow) to achieve key business goals and drive efficiency
•Develop pipelines and automated processes to train and evaluate models in offline and online environments
•Integrate ML models into production systems and ensure their scalability and reliability

Key Requirements

•5+ years of industry experience building and shipping ML systems in production.
•Proficient with ML libraries and frameworks such as PyTorch, TensorFlow, XGBoost, as well as Spark.
•Knowledge of various ML algorithms and model architectures.
•Hands-on experience in designing, training, and evaluating machine learning models.
•Hands-on experience in productionizing and deploying models at scale.

Experience:5+ yearsFintechFinancePaymentsMachine learning

Skills:CollaborationCommunicationProblem-solvingOwnershipBias towards action

Languages:English

Tech Stack:PyTorchTensorFlowXGBoostSparkTransformers

Company Brief

Stripe

Provides payment processing APIs and financial infrastructure for internet businesses. Powers online payments for millions of companies from startups to Fortune 500s.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Decacorn (USD 10B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2010

Glassdoor: 4.2

Website LinkedIn Glassdoor

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Stripe

1 month ago

Machine Learning Engineer, Capital Underwriting

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design state-of-the-art ML models and large scale ML systems for underwriting and portfolio management for Stripe Capital based on ML principles, domain knowledge, risk, regulatory and engineering constraints
•Design systems to speed up the time from idea to deployment of new models
•Experiment and iterate on ML models (using tools such as PyTorch and TensorFlow) to achieve key business goals and drive efficiency
•Develop pipelines and automated processes to train and evaluate models in offline and online environments
•Integrate ML models into production systems and ensure their scalability and reliability

Key Requirements

•5+ years of industry experience building and shipping ML systems in production.
•Proficient with ML libraries and frameworks such as PyTorch, TensorFlow, XGBoost, as well as Spark.
•Knowledge of various ML algorithms and model architectures.
•Hands-on experience in designing, training, and evaluating machine learning models.
•Hands-on experience in productionizing and deploying models at scale.

Experience:5+ yearsFintechFinancePaymentsMachine learning

Skills:CollaborationCommunicationProblem-solvingOwnershipBias towards action

Languages:English

Tech Stack:PyTorchTensorFlowXGBoostSparkTransformers

Company Brief

Stripe

Provides payment processing APIs and financial infrastructure for internet businesses. Powers online payments for millions of companies from startups to Fortune 500s.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Decacorn (USD 10B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2010

Glassdoor: 4.2

Website LinkedIn Glassdoor