Verisoul
Intelligence Engineer - Real-time
6mo ago
200000 –250000 USD / yearUSASeniorml modelingreal-time data processingstreaming architecturedata ingestionheuristic logiclatency optimization
Develop and optimize real-time ML models and streaming architecture to detect fraud and fake accounts instantly.
Responsibilities
- 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.
Conditions
- 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
- Free Lunch - personalized your way
- $10K Relocation Bonus
- 100% Insurance Coverage
- 4% 401K Match
- Unlimited Vacation
- Up to 20 days Remote Annually
- Beautiful Office
Other
- 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 .
- 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
- 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.
- 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.
- Platform Engineering Team: To embed intelligence into the core product suite and real-time SDKs for data collection
- GKE, GCP, Spanner, Starrocks, Redis, Go, Python, Typescript
- In office 5 days a week in Austin, Texas!
- All-in Optimism: Building a startup is hard. We bring the energy and steadfast optimism needed to push through challenges and accomplish the impossible—while having fun.
- Total Ownership: Be a self-starter and a self-completer. Own high-impact problems end-to-end, combining structure with the execution skills to get the job done.
- First Principles Curiosity: Challenge assumptions with a beginner’s mind. Rethink the "current way," test new hypotheses, and focus on finding the truth—even if it means changing your mind.