USD per year
Senior Machine Learning Engineer
Remote Fingerprint empowers developers to stop online fraud at the source. We work on turning radical new ideas in the fraud detection space into reality. Our products are developer-focused and our clients range from solo developers to publicly traded companies. We are a globally dispersed, 100% remote company with a strong open-source focus. Our flagship open-source project is FingerprintJS (20K stars on GitHub). We have raised $77M and are backed by Craft Ventures (previously invested in Tesla, Facebook, Airbnb), Nexus Venture Partners (previously invested in Postman, Apollo.io, MinIO, Druva) and Uncorrelated Ventures (previously invested in Redis, Rollbar & Gradle). We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Fingerprint recruiting email communications will always come from the @fingerprint.com domain. Any outreach claiming to be from Fingerprint via other sources should be ignored. We are seeking a Senior ML Engineer to join our Identification team. In this role, you will focus on designing, building, and maintaining production-grade ML solutions and infrastructure that power our fraud detection solutions. You will collaborate closely with other team members to architect solutions that are reliable, scalable, and efficient. You will own features from concept to deployment and ensure seamless integration with other components in our platform.
Types of Projects and Impact:
- Take AI & ML applications from prototype to production, partnering closely with Data Scientists and cross-functional teams to ensure robust and performant deployment of machine learning solutions
- Lead development for ML systems: Design, build, and maintain production-grade ML systems, with a focus on performance, scalability, and maintainability
- Architect end-to-end ML infrastructure: Own the full lifecycle of ML solutions — from feature engineering and data pipelines to model serving, CI/CD, observability, and retraining
- Collaborate across teams: Work closely with data scientists, data engineers,...
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Browse Active JobsEmpowering businesses to detect and prevent online fraud with the world's most accurate device identifier. Mission to power a safe and seamless internet through device intelligence, providing accurate device intelligence signals to reduce fraud, strengthen security, and enhance user experience.
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