At Oracle Cloud Infrastructure (OCI), the business problem is to advance AI-powered speech technologies, including state-of-the-art Automatic Speech Recognition (ASR), Text-To-Speech (TTS), Speech-To-Speech (S2S) translation, and conversational AI solutions, to deliver robust, secure, and scalable speech and language services tailored to enterprise use cases worldwide.
Requirements
- Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch.
- Hands-on experience in one or more areas: ASR, TTS, S2S translation, conversational AI, or related NLP topics.
- Proven analytical and problem-solving abilities in AI/ML or speech/language processing domains.
- PhD in Computer Science, Electrical Engineering, Mathematics, Linguistics, or a related field, with dissertation or projects focused on machine learning, speech processing, NLP, or AI.
- Alternatively, a Master’s degree with significant research or project experience in the above areas.
- Up to 5 years of relevant post-graduate, academic, or industry experience.
- Demonstrated ability to independently advance research or applied projects from start to finish, including formulating problems, conducting experiments, and interpreting results.
Responsibilities
- Independently design, implement, and evaluate deep learning models and algorithms for speech recognition, synthesis, translation, and conversational AI applications.
- Take ownership of specific project components from early research and data exploration through experimental analysis, prototyping, and delivery of production-ready solutions.
- Collaborate proactively with other applied scientists, engineers, and product managers to contribute new technical ideas and approaches to core OCI Speech Science projects.
- Conduct thorough error analysis, troubleshooting, and iteration to continuously improve model performance and robustness.
- Author technical documentation, experimental reports, and present findings at team or cross-team forums.
- Stay up-to-date with recent advancements in AI/ML and speech/language technologies, and identify opportunities to apply them in OCI products.
- Adhere to best practices in responsible AI, model validation, and data security.
Other
- PhD in Computer Science, Electrical Engineering, Mathematics, Linguistics, or a related field, with dissertation or projects focused on machine learning, speech processing, NLP, or AI.
- Alternatively, a Master’s degree with significant research or project experience in the above areas.
- Up to 5 years of relevant post-graduate, academic, or industry experience.
- Excellent written and verbal communication skills, especially in technical documentation and presentations.
- Collaborate, reliable, and motivated to take initiative in a fast-paced team environment.
