Tools for Humanity Logo

Tools for Humanity

Staff Fraud Engineer

Reposted 6 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA
277K-310K Annually
Mid level
In-Office
San Francisco, CA
277K-310K Annually
Mid level
The Staff Fraud Engineer will manage fraud controls, ensure user safety, and collaborate with teams to enhance user experiences on mobile platforms.
The summary above was generated by AI

About the Company:

World is a network of real humans, built on privacy-preserving proof-of-human technology, and powered by a globally inclusive financial network that enables the free flow of digital assets for all. It is built to connect, empower, and be owned by everyone.

About the Team

People spend fifteen seconds with an Orb, but a lifetime with the World App. As such, the App team plays a critical role in fulfilling our mission. Using the App, people can join the World network, participate in decentralized finance in a friendly and self-custodial manner, and use their WorldID to unlock services across the ecosystem.

The intersection of our App and our controls for Fraud, Risk, Safety, and Security are a broad set of integrations and mechanisms to ensure the safety and security of our users and the World network.

This role is a broad position with responsibility across the entire surface of our application and its related systems and tooling.

About the Role:
  • Own end-to-end the integrations of our most critical controls and ensuring that their enforcement is neither circumvented nor negatively impacting our users

    • Face Auth, our liveness detection and time-of-use enforcement mechanism

    • Integration with our Fraud Risk Engine

    • Systems that enable our operations teams to respond to user reports and that enforce their actions across our stack

    • SDK/API integrations with external providers

    • Client platform specific features (Android, iOS etc) to prevent misuse.

  • Advocate for our users, partnering with our data analytics team and our fraud/risk analytics team to identify false positives and adjust rules and system

  • Partner with Product teams to improve the user experience for our users that come into contact with these systems.

  • Provide broad review of engineering changes that affect these system

  • Accomplish all the above while implementing strict access controls, data retention policies, and minimizing user data collected.

About You:
  • Great at cross-functional work, prioritizing, and self-organizing

  • Strong technical architecture skills across backend and mobile platforms

  • Privacy-minded and capable of adopting an adversarial mindset

  • Strong communication skills

  • Capable of direct individual contribution across our stack

Nice-to-Have Skills

  • Experience in security, fraud, trust & safety, or related domains.

  • Mobile development - being comfortable understanding the logic implemented in our android and ios applications

  • Data analysis and engineering experience - to help you build an understanding the true impact of controls

If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.

By submitting your application, you consent to the processing and internal sharing of your CV within the company, in compliance with the GDPR.

Pay transparency statement (for CA based roles):

The reasonably estimated salary for this role at TFH ranges from $276,500 - $310,000 plus a competitive long term incentive package. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, TFH offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, vision, a 401(k) plan and match, life insurance, flexible time off, commuter benefits, professional development stipend and much more!

Top Skills

Android
Backend Architecture
iOS
HQ

Tools for Humanity San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

8 Days Ago
In-Office
8 Locations
277K-415K Annually
Expert/Leader
277K-415K Annually
Expert/Leader
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
As a Staff Machine Learning Engineer, you will design and develop machine learning systems to prevent fraud, ensuring data quality and integrating diverse data sources while collaborating with cross-functional teams.
Top Skills: AWSDatabricksDynamoDBJavaKafkaKotlinKubernetesMySQLPythonPyTorchSparkTensorFlow
24 Days Ago
Hybrid
8 Locations
277K-415K Annually
Expert/Leader
277K-415K Annually
Expert/Leader
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
As a Staff Machine Learning Engineer, you will design and develop ML systems to combat fraud by building data pipelines, integrating data sources, and ensuring high-quality model performance while collaborating with teams.
Top Skills: AWSDatabricksDynamoDBJavaKafkaKotlinKubernetesMySQLPythonPyTorchSparkTensorFlow
25 Days Ago
Hybrid
4 Locations
192K-400K Annually
Senior level
192K-400K Annually
Senior level
Fintech • Software
Lead the development of scalable ML infrastructure for fraud detection, collaborating across teams while mentoring peers and shaping technical strategy.
Top Skills: AirflowPythonPyTorchSagemakerSpark

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account