Machine Learning Engineer

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.

As our Founding Machine Learning Engineer, you will product ionize 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.

• 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.
• Define data-serving requirements with our Data Engineer so infrastructure and intelligence stay in sync.

• 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, Tensor Flow, 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.

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.