- This team is responsible for building, maintaining, and monitoring the production ML models and offline experimentation frameworks that are at the core of Signifyd's product
- As a Senior Machine Learning Engineer, you will be a driver of technical execution within the ML team
- You won't just build modelsyou'll own the end-to-end lifecycle of high-impact ML projects, from offline experimentation to deployment to production
- You will be responsible for improving model performance, refining our experimentation processes, and ensuring our fraud detection systems are robust, scalable, and scientifically sound
- Expand ML Capabilities Identify, prototype, and integrate new ML technologies and infrastructure to enhance fraud detection effectiveness and scalability
- Enable High-Velocity Experimentation Own the design and implementation of ML pipeline components that accelerate our innovation
- Collaborate Across Functions Partner with Product, Engineering, and Risk teams to translate business requirements into technical solutions and ensure ML initiatives align with customer needs
Raise the Bar Foster a culture of technical excellence by championing best practices in testing, documentation, model monitoring, and development
