Intelligence Engineer - Real-time

Verisoul Inc.; Austin (TX); On-site; USD 200,000 - 250,000; Full time

Benefits offered by this job

Free Lunch

$10K Relocation Bonus

100% Insurance Coverage

Unlimited Vacation

Beautiful Office

Job summary

A leading tech company in Austin, TX, is seeking a skilled professional to detect fraud and fake accounts using innovative machine learning techniques. The ideal candidate has over 4 years of experience in data engineering or as a data scientist. This role will focus on creating real-time models and optimizing data pipelines. Compensation ranges from $200,000 to $250,000 plus equity and excellent benefits, including unlimited vacation and a 401k match.

Qualifications

• 4+ years as an engineer, data scientist, ML engineer, or similar.
• Experience handling high-volume data ingestion in production.
• Built large scale models with data collection, feature engineering, and monitoring.

Responsibilities

• Create, test, and deploy real-time signal collection and modeling architecture.
• Develop infrastructure for large scale pipelines.
• Build ML models that adapt to shifting attack vectors.
• Optimize pipelines for instant scoring.

Skills

Machine Learning

Data Engineering

Real-time Signal Processing

Problem-solving

Curiosity

Tools

Go

Python

Typescript

GCP

Redis

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

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.

What You’ll Do:

• 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.

What You’ll Bring:

• 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

• Free Lunch - personalized your way

• $10K Relocation Bonus

• 100% Insurance Coverage

• 4% 401K Match

• Unlimited Vacation

• Up to 20 days Remote Annually

• Beautiful Office

Our Values

1. 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.

2. 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.

3. 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.