Machine Learning Engineer (Real-Time Speech Translation)

We are building a new live translation product. We are looking for an ML Engineer to build the real-time speech translation backend that powers it.

You will own the real-time speech translation backend end-to-end, from live audio input to translated output. You will build on LILT's production model serving platform (Ray Serve on GPU Kubernetes clusters) and our in-house adaptive machine translation models, working closely with the senior architects of that platform and with our language processing researchers. The ASR and MT models exist. Your job is to make them work together as a low-latency streaming system that holds up in production.

This is a hands-on backend engineering role for those looking to own a real-time ML system from end to end, supported by expert guidance and a clear product vision. Our team adopts an AI-first approach, leveraging agentic coding and AI-driven PR reviews to accelerate development. We combine this with deep technical expertise, requiring not only expert Python proficiency but also a comprehensive understanding of the entire ML stack, from optimizing neural network architectures to managing production infrastructure on Kubernetes, and making informed, cost-aware decisions on hardware selection.