Intelligence Engineer - Real-time
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Responsibilities
- Signal Innovation: Create, test, and deploy real-time signal collection and modeling architecture to separate good and bad users. R&D device, network and behavioral features
- Signal Infra: Develop infrastructure for large scale pipelines that still allow fast iteration
- Adversarial Modeling: Assume the attacker knows your rules. Build ML models and heuristic logic that adapt to shifting attack vectors.
- Optimize Latency: Shave milliseconds off event pipelines for instant scoring.
- Integrate Feedback: Connect intelligence to platform APIs for immediate customer loops.
Requirements
- Experience: 4+ years as an engineer, data scientist, ML engineer, or similar
- Scale: Experience handling high-volume data ingestion in production.
- End to End ML Modeling: Built large scale models from the ground up with data collection, feature engineering, modeling and monitoring
- Curiosity & Creativity: You look at a raw stream of events and see a story. You enjoy the "cat and mouse" game of digital forensics.
- First-Principles Thinking: You look beyond existing solutions and raw data, diving deep into the underlying meaning and ground truth.
- Location: In-person in Austin, TX.
- Who You'll Work With:
- Platform Engineering Team: To embed intelligence into the core product suite and real-time SDKs for data collection
- Tech Stack:
- GKE, GCP, Spanner, Starrocks, Redis, Go, Python, Typescript
- Compensation: $200,000 - $250,000 + Equity
- Base Salary: $190,000 - $240,000 fixed annual salary (All Base)
- 401k match: 4% match of compensation (~$8,000)
- Equity Grant: 0.25% - 0.5% with 4-year vesting
- Relocation Bonus: $10K
- Life At Verisoul
- In office 5 days a week in Austin, Texas!
Benefits
Additional Information
About Verisoul Verisoul stops fake accounts and fraud in the era of AI. We distinguish real humans from bots and bad actors for high-growth companies like Clay, Augment Code, and Morning Consult . Our Trajectory (Last 12 Months): 6x YoY Growth: 6x ARR growth (to $2M) and scaled to 100+ customers. Product Dominance: 80% competitive win rate; we catch 70-105% more fraud than legacy tools. Strong Backing: Raised $8.8M Series A You and Your Role Detect fraud, fake accounts, bots, and user clusters in milliseconds using real-time signals and ML modeling. Own the streaming architecture and real-time logic that separates real users from bots instantly.
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Company Intel
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