Block

1 month ago

Senior ML/AI Modeler, Risk Automation Machine Learning

✓ 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

Lead and scale AI-enabled risk automation efforts by building agentic and generative AI copilots to streamline fraud and compliance investigations. Own end-to-end ML systems from data ingest to production monitoring, collaborating with product, platform, engineering, and operations to deploy production-grade models using Python, LLMs, PyTorch, Snowflake, and cloud services across US/Canada.

Location: Seattle

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Experiment and deploy AI copilot and autopilot systems at scale to improve analyst productivity and/or eliminate manual decision loops altogether.
•Own the end to end system including API calls to disparate data sources, advanced prompt tuning, orchestration, metrics and evaluation, productionization and monitoring.
•Leverage diverse data sets that include payment transactions, connected users and asset graphs, unstructured text data and user profile information to build transformer based ML models to improve downstream detection tasks.
•Work cross functionally with product, platform, engineering and operational stakeholders to deploy production grade systems and monitor and tune ongoing performance.
•Use Python ML stack, LLMs, PyTorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job done.

Key Requirements

•8+ years of Machine Learning modeling experience. Full stack ML experience is strongly preferred.
•A Masters or advanced degree in computer science, data science, operations research, applied math, stats, physics, or a related technical field.
•3+ yrs experience with AI engineering, Large language models, and a background in traditional NLP techniques is a strong plus for this role.
•End to end experience of building and deploying ML/AI to production systems (batch and real time) that are performant at scale.
•Experience of independently owning, influencing and driving programs with multiple cross functional stakeholders that have significant business impact.

Experience:8+ yearsMachine learningAI engineeringNLP

Education:Master's

Skills:PythonPyTorchLLMsTransformersSnowflakeAirflowGCPAWSProductionMonitoring

Languages:English

Tech Stack:PythonPyTorchSnowflakeAirflowGCPAWSLLMsTransformers

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 ML/AI Modeler, Risk Automation Machine Learning

✓ 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: Seattle

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Experiment and deploy AI copilot and autopilot systems at scale to improve analyst productivity and/or eliminate manual decision loops altogether.
•Own the end to end system including API calls to disparate data sources, advanced prompt tuning, orchestration, metrics and evaluation, productionization and monitoring.
•Leverage diverse data sets that include payment transactions, connected users and asset graphs, unstructured text data and user profile information to build transformer based ML models to improve downstream detection tasks.
•Work cross functionally with product, platform, engineering and operational stakeholders to deploy production grade systems and monitor and tune ongoing performance.
•Use Python ML stack, LLMs, PyTorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job done.

Key Requirements

•8+ years of Machine Learning modeling experience. Full stack ML experience is strongly preferred.
•A Masters or advanced degree in computer science, data science, operations research, applied math, stats, physics, or a related technical field.
•3+ yrs experience with AI engineering, Large language models, and a background in traditional NLP techniques is a strong plus for this role.
•End to end experience of building and deploying ML/AI to production systems (batch and real time) that are performant at scale.
•Experience of independently owning, influencing and driving programs with multiple cross functional stakeholders that have significant business impact.

Experience:8+ yearsMachine learningAI engineeringNLP

Education:Master's

Skills:PythonPyTorchLLMsTransformersSnowflakeAirflowGCPAWSProductionMonitoring

Languages:English

Tech Stack:PythonPyTorchSnowflakeAirflowGCPAWSLLMsTransformers

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