Founding Machine Learning Engineer

Intro

Our mission is to detect and disrupt risks—from delivery fraud to Item Not Received (INR) claims—that create friction between merchants, carriers, and 3PLs. We sit at the intersection of e-commerce, logistics, and fraud, turning complex data streams into practical intelligence.

Role overview

As our Founding Machine Learning Engineer, you will productionize our intelligence. You will partner closely with our Data Scientist and own the path from model prototype to reliable, low-latency, high-availability production service.

Responsibilities

• Partner with our Data Scientist to take model prototypes and build, deploy, and scale them in a production environment.
• Design and build robust, low-latency APIs that serve model predictions to our core platform.
• Own MLOps tooling and build systems for CI/CD, model training, and monitoring.
• Optimize model speed, reliability, and accuracy for real-time, high-volume traffic.
• Write clean, testable, maintainable production-grade code.
• Define data-serving requirements with our Data Engineer so infrastructure and intelligence stay in sync.

Qualifications

• 4+ years of hands-on experience as a Machine Learning Engineer or Software Engineer with a focus on ML.
• Fluent in Python with deep experience building and deploying ML models (scikit-learn, TensorFlow, or PyTorch).
• Production-first builder with experience managing real-time APIs and containerized services.
• Hands-on experience with MLOps tooling and cloud platforms, especially GCP.
• Strong reliability mindset and bias toward automation and monitoring.
• Thrives on ownership, autonomy, and collaboration in a small team.

Company culture

We hire exceptional people and give them trust, freedom, and responsibility. We value depth of thinking, direct collaboration, and low-bureaucracy execution so great ideas can ship quickly.

Final CTA

If you are a curious, resilient builder who wants to own a core part of a new product, we would love to talk.