Principal Applied Scientist

Oracle Oracle · Enterprise · United States

This role focuses on researching, developing, and deploying advanced AI-powered speech technologies (ASR, TTS, S2S translation, conversational AI) for enterprise use cases on Oracle Cloud Infrastructure. The Principal Applied Scientist will work on the full lifecycle of these services, from model design to production deployment, ensuring accuracy, efficiency, scalability, security, and data privacy.

What you'd actually do

  1. Conduct research and development in ASR, TTS, S2S translation, and conversational AI, staying up to date on industry and academic advancements.
  2. Design, implement, train, and fine-tune deep learning models for speech recognition, synthesis, and translation, driving improvements in accuracy, efficiency, and scalability.
  3. Collaborate closely with other scientists, engineers, and product teams to integrate speech AI technologies into OCI cloud-native products and services.
  4. Analyze enterprise requirements and customer use cases to deliver effective, scalable solutions.
  5. Ensure responsible AI development by adhering to best practices in model evaluation, security, and data privacy.

Skills

Required

  • PhD or Master's degree in a relevant field with significant experience
  • 5+ years of relevant experience (PhD) or 7+ years (Master's)
  • Deep learning model development and evaluation
  • ASR, TTS, S2S translation, conversational AI, or NLP applications
  • Python, TensorFlow, PyTorch
  • Problem-solving and analytical skills in speech or language processing
  • Collaboration and communication skills

Nice to have

  • Experience in deploying AI/ML models in production environments

What the JD emphasized

  • PhD in Computer Science, Electrical Engineering, Mathematics, Linguistics, or a related field, with research centered on machine learning or deep learning and 5+ years of relevant experience.
  • Alternatively, a Master’s degree in any of the above fields, with 7+ years of relevant experience.
  • Demonstrated experience in developing and evaluating deep learning models for ASR, TTS, S2S translation, conversational AI, or related NLP applications.
  • Strong publication record or significant contributions to open-source projects and/or internal solutions.

Other signals

  • research and development in ASR, TTS, S2S translation, and conversational AI
  • design, implement, train, and fine-tune deep learning models
  • deploying AI/ML models in production environments