Research Engineer, Machine Learning Systems
Core
Architect and manage horizontally scalable systems to accelerate the end-to-end training lifecycle for Speech-to-Text (STT) and Text-to-Speech (TTS) models, while designing internal tools for non-technical stakeholders.
Role type
Senior IC machine learning systems engineer (research)
Builds
Scalable training pipelines, experiment tracking systems, and internal ML tooling for speech technologies
Domain
Voice AI, speech recognition, speech synthesis, distributed infrastructure
Deliverable
production ML models | infrastructure
Required skills
Machine learning research pipeline, STT/TTS modeling, large-scale training systems, orchestration tools, data engineering for unstructured audio/text, internal tool development
Preferred skills
None stated
Technologies
Kubernetes, Docker, Prefect, MLflow
Responsibilities
Architect horizontally scalable training systems for STT/TTS, design internal UIs for ML workflows, manage training tooling and job orchestration
Seniority
Senior, hands-on IC
