139 applicants

Company

Original Job Post

Stripe · 2 days ago

Machine Learning Engineer, Payment Intelligence

United States

Full-time

Remote

Senior Level

$173K/yr - $317K/yr

3+ years exp

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H1B Sponsorship

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Comp. & Benefits

Insider Connection @Stripe

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Design and deploy new models using tools (such as Spark, Presto, XGBoost, Tensorflow, PyTorch) and iteratively improve verification and fraud models to protect millions of users from fraud

Envision and develop new models for fraud detection i.e work with large payment datasets to find creative new methods of detecting and deterring fraudulent behavior.

Propose new feature ideas and design real-time data pipelines to incorporate them into our models.

Integrate new signals into ML pipelines, derive new ML features, and build workflows to make this process fast

Integrate new models and behaviors into Stripe’s core payment flow

Collaborate and execute projects cross-functionally with the data science, product management, infrastructure, and risk teams

Ensure engineering outcomes meet or exceed established standards of excellence in code quality, system design, and scalability

Mentor engineers earlier in their technical careers to help them grow

Propose and implement innovative product ideas to reduce costs and combat fraud at Stripe

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningLarge Scale Distributed SystemsML InfrastructureData AnalysisQuerying DataDefining MetricsModel PerformancePythonJavaRubySoftware EngineeringQuantitative AnalysisAdversarial DomainsProduction Environment Experience

Required

Over 3+ years industry experience building machine learning applications in large scale distributed systems.

2+ year of experience working within a team responsible for developing, managing, and optimizing ML models or ML infrastructure

Experience designing and training machine learning models to solve critical business problems

Experience performing analysis, including querying data, defining metrics, or slicing and dicing data to model performance and business metrics

Preferred

An advanced degree in a quantitative field (e.g. stats, physics, computer science)

Proven track record of building and deploying machine learning systems that have effectively solved critical business problems

Experience in adversarial domains like Payments, Fraud, Trust, or Safety

Experience working in Python, Java and / or Ruby codebases

Experience in software engineering in a production environment.

Benefits

Equity

401(k) plan

Medical, dental, and vision benefits

Wellness stipends

Company

Stripe

Glassdoor

3.6

Stripe is an API technology company that provides online payment processing and commerce solutions for Internet businesses.

Founded in 2010

South San Francisco, California, USA

1,001-5,000 employees

https://www.stripe.com

H1B Sponsorship

Stripe has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Trends of Total Sponsorships

2023 (109)

2022 (300)

2021 (348)

2020 (121)