Platform Engineer

RightEye is hiring a Platform Engineer to take machine learning models from research into production. The role builds and operates the Theia SDK, APIs and backend services, cloud infrastructure, data pipelines, and production model-inference systems.

Responsibilities:

• SDK Development: Design, build, and maintain the Theia SDK in Python and C++, delivering real-time eye-tracking inference across desktop, mobile, embedded, and XR platforms. Own packaging, performance, versioning, and the developer experience
• API & Backend Development: Design and implement APIs and backend services for data ingestion, model serving, licensing, and customer integrations, with a focus on clean interfaces, reliability, and security
• Cloud Engineering: Build and operate infrastructure on AWS, including containerized services on Kubernetes, infrastructure-as-code, CI/CD, and monitoring
• Full Stack: Build internal tools, dashboards, and customer-facing web interfaces that make our data and models accessible
• Data Science Engineering: Build and scale the pipelines that process millions of eye-tracking records for training, evaluation, and analytics. Clean, transform, validate, and analyze large tabular datasets, and build the tooling that lets our ML team explore and work with data efficiently
• ML Productionization: Partner with ML engineers to deploy, optimize, and monitor models in production and at the edge, including model conversion, latency and memory optimization, and inference pipelines