Employer Industry: Voice AI Technology

Why consider this job opportunity: - Opportunity to work on cutting-edge technology in the AI industry - Empowerment to build tools and systems that accelerate ML research and product deployment at scale - Collaborative and innovative research culture that prioritizes ownership and real-world impact - Backed by prominent investors with over $85 million in total funding - Supportive work environment that values diverse voices and perspectives

What to Expect (Job Responsibilities): - Architect and manage horizontally scalable training systems for Speech to Text (STT) and Text to Speech (TTS) models across diverse domains - Design and implement internal UIs and tools that make ML systems accessible to non-technical stakeholders - Oversee and manage training tooling, job orchestration, experiment tracking, and data storage - Identify critical experiments that validate or invalidate ideas quickly - Collaborate with cross-functional teams including researchers, engineers, and product stakeholders

What is Required (Qualifications): - Strong experience in training large-scale machine learning systems, particularly in STT or related speech domains - Proficiency with orchestration and infrastructure tools like Kubernetes, Docker, and Prefect - Familiarity with ML lifecycle tools such as MLflow - Experience building internal tools or dashboards for non-technical users - Hands-on experience with data engineering practices for unstructured audio and text data

How to Stand Out (Preferred Qualifications): - Deep understanding of evaluation metrics and benchmarking techniques for ASR and/or TTS systems

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