Sr. Machine Learning Engineer

The opportunity Unity's ML Engineering Infrastructure team builds the platform that powers machine learning across the company, from feature generation and training data pipelines to distributed training, experimentation, and model serving. We're looking for a Machine Learning Engineer to help build the platform behind our product intelligence, production ML models, and the teams that develop them. Operating at scale across batch and streaming data, our systems power large-scale training, feature generation, and experimentation.

You'll work across the full ML infrastructure stack, from data and feature pipelines to distributed training, orchestration, serving, and observability, going wherever the team needs you most. This role suits someone curious and eager to learn who picks up new tools quickly. Working closely with your manager and experienced engineers, you'll take on well-scoped projects and deliver them end-to-end using your own judgment, keeping both the day-to-day details and the broader direction of the platform in view.

What you'll be doing Build and maintain data and feature pipelines that generate training datasets for machine learning models and experimentation Develop and improve infrastructure for distributed training workflows Build and operate multi-stage ML pipelines using workflow orchestration tools Contribute to model serving and deployment infrastructure, helping models move reliably from training into production Improve reproducibility and reliability