Talent.com
Staff ML Modeler, Financial Crimes (CashApp)
Staff ML Modeler, Financial Crimes (CashApp) Square • San Francisco, CA, US
Staff ML Modeler, Financial Crimes (CashApp)

Staff ML Modeler, Financial Crimes (CashApp)

Square • San Francisco, CA, US
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Company Description

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay / Clearpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible.

Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.

Check out our locations, benefits, and more at

Job Description

The Financial Crimes Technology team at Cash App detects and reports illegal and suspicious activity on Cash App. We work globally with partners in Product, Counsel and Engineering to ensure that we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform.

We are leveraging Generative AI (specifically Large Language Models) and Machine Learning as an integral part of our toolkit to fulfill our mission. As Cash App scales, we monitor hundreds of billions of dollars in transactions across traditional payment and blockchain networks. Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review. Our systems also proactively block payments in real time where appropriate. Now, we are also leveraging generative AI technologies to improve agent workflow and case review tools; by adding features that accelerate agent productivity and enable them to make faster, more informed and accurate decisions.

This is a new and significant opportunity to rethink and optimize Financial Crimes Operations at CashApp scale. This is an IC role, but the Staff level has significant leadership responsibilities that include owning, and driving strategic roadmaps & priorities to completion by collaborating with relevant cross functional stakeholders.

You will :

Experiment and deploy AI copilot and self-driving solutions at scale to improve agent productivity and / or eliminate manual decision loops altogether

Own the end to end pipeline including API calls to disparate data sources, advanced prompt tuning and / or model fine tuning, metrics and evaluation, and integrating Gen AI output into production case generation systems

Leverage LLMs to accelerate label generation to alleviate cold start problems for traditional ML classification problems

Build classification models to detect illegal use of the app across the peer-to-peer, banking, card, equities and bitcoin products

Leverage diverse data sets that include payment transactions, connected users and asset graphs, unstructured text data and user profile information to build ML and Generative AI models.

Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor 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

Qualifications

You Have :

5+ 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

Experience with 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

Have a curious, growth-oriented mindset and the ability to think in first principles to identify creative solutions that demonstrate value

Additional Information

To find a location’s zone designation, please refer to this . If a location of interest is not listed, please speak with a recruiter for additional information.

Full-time employee benefits include the following :

  • Healthcare coverage (Medical, Vision and Dental insurance)
  • Health Savings Account and Flexible Spending Account
  • Retirement Plans including company match
  • Employee Stock Purchase Program
  • Wellness programs, including access to mental health, 1 : 1 financial planners, and a monthly wellness allowance
  • Paid parental and caregiving leave
  • Paid time off (including 12 paid holidays)
  • Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees)
  • Learning and Development resources
  • Paid Life insurance, AD&D, and disability benefits

These benefits are further detailed in Block's policies. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our .

Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Block, Inc. (NYSE : SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.

While there is no specific deadline to apply for this role, on average, open roles are posted for 70 days before being filled by a successful candidate.

[job_alerts.create_a_job]

Staff ML Modeler Financial Crimes CashApp • San Francisco, CA, US

[internal_linking.similar_jobs]
Senior Staff ML Engineer – Trusted Identity & Fraud Safety

Senior Staff ML Engineer – Trusted Identity & Fraud Safety

Uber • San Francisco, CA, United States
[job_card.full_time]
A leading tech company in San Francisco is looking for a Senior Staff Machine Learning Engineer to drive innovation in identity verification and fraud prevention. The successful candidate will lever...[show_more]
[last_updated.last_updated_30] • [promoted]
Staff Machine Learning Engineer (Modeling), Support

Staff Machine Learning Engineer (Modeling), Support

Block • San Francisco, California, United States
[job_card.full_time]
Block is one company built from many blocks, all united by the same purpose of economic empowerment.The blocks that form our foundational teams—People, Finance, Counsel, Hardware, Information Secur...[show_more]
[last_updated.last_updated_variable_days] • [promoted]
ML Engineer, LLMs for Identity Risk — Hybrid

ML Engineer, LLMs for Identity Risk — Hybrid

Baselayer • San Francisco, California, United States
[job_card.full_time]
A financial technology company is seeking a Machine Learning Engineer in San Francisco to develop and integrate ML models for identity verification and risk monitoring. This role involves building s...[show_more]
[last_updated.last_updated_variable_days] • [promoted]
ML Engineer — Fraud & Integrity Platform (Hybrid)

ML Engineer — Fraud & Integrity Platform (Hybrid)

Lyft • San Francisco, CA, United States
[job_card.full_time]
A leading ride-sharing company in San Francisco is looking for a Machine Learning Engineer to develop algorithms for fraud detection. This hybrid role requires strong expertise in machine learning a...[show_more]
[last_updated.last_updated_variable_days] • [promoted]
Staff ML Engineer, Safety — Lead & Build Trusted ML

Staff ML Engineer, Safety — Lead & Build Trusted ML

ESR Healthcare • San Francisco, CA, United States
[job_card.full_time]
A leading technology company is looking for a Staff Software Engineer specializing in Machine Learning Safety to lead the Safety ML team. Candidates should have over 5 years of experience in ML engi...[show_more]
[last_updated.last_updated_variable_days] • [promoted]
Senior ML Platform Leader : Inference & APIs

Senior ML Platform Leader : Inference & APIs

Apple Inc. • San Francisco, CA, United States
[job_card.full_time]
A leading technology company is seeking a Senior Machine Learning Manager in San Francisco to lead a team of engineers developing critical software infrastructure for ML applications.The successful...[show_more]
[last_updated.last_updated_30] • [promoted]
AI / ML Developer Relations - US (San Francisco)

AI / ML Developer Relations - US (San Francisco)

Encord • San Francisco, California, US
[job_card.full_time]
Job Description Job Description About Us At Encord, we're building the AI infrastructure of the future.The biggest challenge AI companies face today is actually not half as glamorous as the outsi...[show_more]
[last_updated.last_updated_variable_days] • [promoted]
Engineering Lead, Fraud & ML Infra

Engineering Lead, Fraud & ML Infra

Brex • San Francisco, CA, United States
[job_card.full_time]
A fintech company in San Francisco is seeking an experienced Engineering Manager for its FinCrime team.The role involves leading a team focused on fraud and compliance, developing ML infrastructure...[show_more]
[last_updated.last_updated_30] • [promoted]
Financial Crimes Compliance Modeling & Analytics Manager

Financial Crimes Compliance Modeling & Analytics Manager

Mercury • San Francisco, CA, US
[job_card.full_time]
Financial Crimes Compliance Modeling & Analytics Manager.Mercury is building a complete finance stack for startups.We work hard to create the easiest and safest banking • experience possible to simp...[show_more]
[last_updated.last_updated_30] • [promoted]
MLE, ML Platform

MLE, ML Platform

zaimler • San Mateo County, California, US
[job_card.full_time]
Job Description Job Description About zaimler AI agents can't reason over data they don't understand.Enterprise data today is fragmented across dozens of systems with no shared context, meaning,...[show_more]
[last_updated.last_updated_variable_days] • [promoted]
Staff ML Platform Engineer – Large Scale Training (LLMOps / MLOps)

Staff ML Platform Engineer – Large Scale Training (LLMOps / MLOps)

Socotra, Inc. • San Francisco, CA, United States
[job_card.full_time]
Build the Future of Scalable AI at TrueFoundry.ML teams train, deploy, and scale their models.Our LLMOps and MLOps platform empowers organizations to experiment faster, train large-scale models rel...[show_more]
[last_updated.last_updated_30] • [promoted]
Remote : Staff ML Engineer - Fraud Data & Scalable Infra

Remote : Staff ML Engineer - Fraud Data & Scalable Infra

Plaid • San Francisco, CA, United States
[filters.remote]
[job_card.full_time]
A leading financial technology company is seeking a Staff Machine Learning Engineer to design and build scalable ML infrastructure for their fraud detection products. This role involves collaboratin...[show_more]
[last_updated.last_updated_30] • [promoted]
Senior ML Engineer, Safety - Deploy Production Risk Models

Senior ML Engineer, Safety - Deploy Production Risk Models

Discord • San Francisco, CA, United States
[job_card.full_time]
A leading communication platform is seeking a Senior Machine Learning Engineer for their Safety ML team focused on modeling for user safety. You will analyze data, build models to detect risk, and c...[show_more]
[last_updated.last_updated_variable_days] • [promoted]
Senior ML Engineer — Fraud & Risk Systems (Remote)

Senior ML Engineer — Fraud & Risk Systems (Remote)

Afterpay • San Francisco, CA, United States
[filters.remote]
[job_card.full_time]
A financial technology company is seeking a remote Machine Learning leader to architect systems that enhance fraud prevention in lending. You will leverage advanced analytics and collaborate closely...[show_more]
[last_updated.last_updated_variable_days] • [promoted]
ML Engineer, Fraud & Abuse - Build Safer Shared Workspaces

ML Engineer, Fraud & Abuse - Build Safer Shared Workspaces

Grammarly • San Francisco, California, United States
[job_card.full_time]
A prominent technology company based in California is seeking a Machine Learning Engineer focused on detecting fraudulent content. You will lead the creation of advanced systems to assess user inter...[show_more]
[last_updated.last_updated_variable_days] • [promoted]
Senior Staff MLE, ML- based AV Evaluation

Senior Staff MLE, ML- based AV Evaluation

Waymo • San Francisco, CA, United States
[job_card.full_time]
Senior Staff Machine Learning Engineer, Simulation.Be among the first 25 applicants.Get AI-powered advice on this job and more exclusive features. Waymo is an autonomous driving technology company w...[show_more]
[last_updated.last_updated_variable_days] • [promoted]
Staff ML Engineer, Safety – Lead at Scale

Staff ML Engineer, Safety – Lead at Scale

King River Capital Group • San Francisco, CA, United States
[job_card.full_time]
A leading technology firm is seeking a Staff Machine Learning Engineer – Safety ML to enhance safety through advanced ML techniques. This role involves leading a team, defining technical strategies,...[show_more]
[last_updated.last_updated_30] • [promoted]
ML Engineer : Fraud-Fighting Multimodal AI (SF Office)

ML Engineer : Fraud-Fighting Multimodal AI (SF Office)

Two Dots Inc • San Francisco, CA, United States
[job_card.full_time]
A financial technology startup in San Francisco is seeking a Machine Learning Engineer to design and deploy advanced machine learning solutions. The ideal candidate should have over 3 years of exper...[show_more]
[last_updated.last_updated_30] • [promoted]