Block

1 month ago

Senior Machine Learning Engineer, Risk Modeling

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Senior-level ML engineer to design, deploy, and operate risk modelling systems at scale for Block's fraud prevention and risk teams. Collaborates with product, data science, policy, and engineering to build ML-driven risk solutions, influence strategy, and ensure real-time, reliable performance across Cash App and Square.

Location: San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Partner with product, engineering, data science, policy, and operations to design and productionize ML-driven risk solutions at scale
•Own end-to-end machine learning systems — from problem definition and modeling to deployment, monitoring, and iteration
•Lead technical decision-making within your workstreams and influence ML strategy and planning
•Build tooling and processes that improve the speed, reliability, and impact of the ML development lifecycle
•Apply state-of-the-art modeling techniques and third-party data sources to improve detection and decision-making

Pay and Benefits

Perks:Remote WorkHealth InsuranceRetirement Savings

Key Requirements

•8+ years of industry experience in machine learning, applied AI, or related fields
•Bachelor’s degree in a quantitative field (Computer Science, Engineering, Statistics, Physics, Applied Math); Master’s or PhD preferred
•Proven experience independently designing, deploying, and maintaining ML solutions in production
•Strong familiarity with techniques such as tree-based models, deep learning, transfer learning, or reinforcement learning
•Experience influencing technical direction and collaborating with cross-functional partners at scale

Experience:8+ yearsMachine learningRisk modelingFraud detection

Education:Bachelor's

Skills:CommunicationOwnershipCollaboration

Languages:English

Tech Stack:PythonNumPyPandasScikit-learnXGBoostPyTorchTensorFlowKerasPySparkMLflowAirflowPrefectGCPVertex AIAWSSnowflakeMySQLTableauModeCI/CD

Company Brief

Block

Builds financial services and commerce tools to empower businesses and individuals, operating products such as Square, Cash App, Spiral (Bitcoin initiatives), TIDAL, and developer-focused payment and banking solutions.

Industry: Fintech Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2009

Website LinkedIn

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Block

1 month ago

Senior Machine Learning Engineer, Risk Modeling

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Partner with product, engineering, data science, policy, and operations to design and productionize ML-driven risk solutions at scale
•Own end-to-end machine learning systems — from problem definition and modeling to deployment, monitoring, and iteration
•Lead technical decision-making within your workstreams and influence ML strategy and planning
•Build tooling and processes that improve the speed, reliability, and impact of the ML development lifecycle
•Apply state-of-the-art modeling techniques and third-party data sources to improve detection and decision-making

Pay and Benefits

Perks:Remote WorkHealth InsuranceRetirement Savings

Key Requirements

•8+ years of industry experience in machine learning, applied AI, or related fields
•Bachelor’s degree in a quantitative field (Computer Science, Engineering, Statistics, Physics, Applied Math); Master’s or PhD preferred
•Proven experience independently designing, deploying, and maintaining ML solutions in production
•Strong familiarity with techniques such as tree-based models, deep learning, transfer learning, or reinforcement learning
•Experience influencing technical direction and collaborating with cross-functional partners at scale

Experience:8+ yearsMachine learningRisk modelingFraud detection

Education:Bachelor's

Skills:CommunicationOwnershipCollaboration

Languages:English

Tech Stack:PythonNumPyPandasScikit-learnXGBoostPyTorchTensorFlowKerasPySparkMLflowAirflowPrefectGCPVertex AIAWSSnowflakeMySQLTableauModeCI/CD

Company Brief

Block

Industry: Fintech Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2009

Website LinkedIn