Real-Time Intelligence and Streaming Architecture Engineer

verisoul • United State
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AI Summary

Verisoul is seeking a Real-Time Intelligence and Streaming Architecture Engineer to detect fraud, fake accounts, bots, and coordinated user clusters in milliseconds. The ideal candidate will have 4+ years of experience as an engineer, data scientist, ML engineer, or similar role. The role will involve innovating signals, building signal infrastructure, modeling adversaries, optimizing latency, and integrating feedback loops.

Key Highlights
Innovate signals
Build signal infrastructure
Model adversaries
Optimize latency
Integrate feedback loops
Technical Skills Required
GKE GCP Spanner StarRocks Redis Go Python TypeScript Machine Learning Adversarial ML
Benefits & Perks
$200,000 – $250,000 + Equity Grant
401k match (4%, ~$8,000)
Relocation Bonus: $10,000
100% Insurance Coverage
4% 401K Match
Unlimited Vacation
Up to 20 days Remote Annually

Job Description


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

You detect fraud, fake accounts, bots, and coordinated user clusters in milliseconds.

You own the real-time intelligence and streaming architecture that separates real users from bad actors instantly.

You operate at the intersection of adversarial ML, systems engineering, and product impact.



What You’ll Do


  • Innovate signals. Create, test, and deploy real-time signal collection and modeling to distinguish good and bad users.
  • Build signal infrastructure. Develop large-scale pipelines that support both massive throughput and fast iteration.
  • Model adversaries. Assume attackers know your rules; build adaptive ML models and heuristic logic that evolve with new attack vectors.
  • Optimize latency. Shave milliseconds off event pipelines for instant scoring.
  • Integrate feedback loops. Connect intelligence directly to platform APIs for immediate customer impact.



What You’ll Bring


  • 4+ years experience as an engineer, data scientist, ML engineer, or similar role.
  • High-scale data experience. You’ve handled high-volume data ingestion in production systems.
  • End-to-end ML ownership. Experience building models from data collection and feature engineering through deployment and monitoring.
  • Curiosity and creativity. You see stories in raw event streams and enjoy the cat-and-mouse game of digital forensics.
  • First-principles thinking. You dig past surface-level data to uncover true ground truth.
  • Location requirement. In-person, Austin, TX.



Who You’ll Work With

  • Platform Engineering Team: To embed intelligence directly into core APIs, SDKs, and real-time product surfaces.


Tech Stack

GKE, GCP, Spanner, StarRocks, Redis, Go, Python, TypeScript.


Compensation: $200,000 – $250,000 + Equity Grant

  • Base Salary: $190,000 – $240,000 (all base)
  • Equity: 0.25% – 0.5% with 4-year vesting
  • Benefits: 401k match (4%, ~$8,000)
  • Relocation Bonus: $10,000


Life At Verisoul

In office 5 days a week in Austin, Texas!


Benefits

  • Free Lunch - personalized your way
  • $10K Relocation Bonus
  • 100% Insurance Coverage
  • 4% 401K Match
  • Unlimited Vacation
  • Up to 20 days Remote Annually
  • Beautiful Office




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