Intelligence Engineer - Real-time
Verisoul aims to stop fake users, bots, and fraud through AI-powered verification.
Funding
Projects
About Verisoul
Verisoul provides a platform designed to ensure users are real, unique, and trusted by utilizing AI-powered verification methods. It offers a comprehensive solution for preventing fake user registrations and activities, integrating easily with web and mobile applications through a single SDK and API. The platform allows for real-time decision-making and custom workflow creation for user verification, aiming to reduce fraud and improve user trust.
Skills
About the Role
You will detect fraud, fake accounts, bots, and user clusters in milliseconds using real-time signals and ML modeling. You'll own the streaming architecture and real-time logic that separates real users from bots instantly. You will create, test, and deploy real-time signal collection and modeling architecture, researching device, network, and behavioral features. You'll develop infrastructure for large scale pipelines that still allow fast iteration. You will build ML models and heuristic logic that adapt to shifting attack vectors, assuming the attacker knows the rules. You'll optimize latency by shaving milliseconds off event pipelines for instant scoring, and connect intelligence to platform APIs for immediate customer feedback loops. You'll work closely with the Platform Engineering Team to embed intelligence into the core product suite and real-time SDKs for data collection.
Requirements
- 4+ years as an engineer, data scientist, ML engineer, or similar
- Experience handling high-volume data ingestion in production
- Built large scale models end to end including data collection, feature engineering, modeling and monitoring
- Curiosity and creativity to interpret raw event streams and enjoy digital forensics
- First-principles thinking to dive deep into underlying meaning and ground truth
- In-person in Austin, TX
Responsibilities
- Create, test, and deploy real-time signal collection and modeling architecture to separate good and bad users
- Research device, network and behavioral features
- Develop infrastructure for large scale pipelines that still allow fast iteration
- Build ML models and heuristic logic that adapt to shifting attack vectors
- Optimize latency by shaving milliseconds off event pipelines for instant scoring
- Integrate intelligence with platform APIs for immediate customer feedback loops
- Work with the Platform Engineering Team to embed intelligence into the core product suite and real-time SDKs
Benefits
- Free Lunch
- $10K Relocation Bonus
- 100% Insurance Coverage
- 4% 401K Match
- Unlimited Vacation
- Up to 20 days Remote Annually
- Beautiful Office
