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Research Engineer, Machine Learning Systems

🕒 12 days ago
📍 🇺🇸 United States - Remote💰 $150k - $250k / year🎹 Mid-level🗣️ Machine Learning Engineer💼 Full-Time
Machine LearningSpeech-to-textText-to-speechKubernetes
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📜 Description

  • Architect and manage scalable systems to accelerate training for Speech-to-Text (STT) and Text-to-Speech (TTS) models.
  • Design and implement internal UIs and tools for non-technical stakeholders to access ML systems.
  • Oversee training tooling, job orchestration, experiment tracking, and data storage.
  • Pioneer new approaches to solve unsolved problems in machine learning.
  • Identify critical experiments to validate ideas quickly.
  • Scale successful proofs-of-concept significantly.

🛠️ Requirements

  • Strong experience with the machine learning research pipeline, 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.
  • Comfortable working in cross-functional teams.
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