Principal Applied Scientist
Role overview
At Oracle Cloud Infrastructure (OCI), we are building the future of the cloud for enterprises, leveraging a diverse and innovative team of scientists and engineers. The OCI Speech Science team is dedicated to advancing 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. Our mission is to deliver robust, secure, and scalable speech and language services tailored to enterprise use cases worldwide.
As an applied scientist of the OCI Generative AI Science team, you will collaborate with fellow scientists, engineers, and product managers to research, develop, and deploy world-class speech and language technologies on OCI. You will have the opportunity to contribute your expertise in building and optimizing models and services that enhance the customer experience while maintaining the highest levels of data security and privacy.
We are looking for an innovative and driven applied scientist to help advance the areas of ASR, TTS, S2S translation, and conversational AI. In this role, as a Principal Applied Scientist, you will work on the full lifecycle of speech and language AI services – from model design to production deployment – supporting OCI’s broad range of enterprise customers.
Responsibilities
- check_circle Conduct research and development in ASR, TTS, S2S translation, and conversational AI, staying up to date on industry and academic advancements.
- check_circle Design, implement, train, and fine-tune deep learning models for speech recognition, synthesis, and translation, driving improvements in accuracy, efficiency, and scalability.
- check_circle Collaborate closely with other scientists, engineers, and product teams to integrate speech AI technologies into OCI cloud-native products and services.
- check_circle Analyze enterprise requirements and customer use cases to deliver effective, scalable solutions.
- check_circle Ensure responsible AI development by adhering to best practices in model evaluation, security, and data privacy.
- check_circle Share insights and technical expertise with the team, contributing to documentation, code reviews, and project planning.
- check_circle Continuously learn and develop new skills in cutting-edge AI/ML methodologies, tools, and frameworks relevant to speech and conversational AI.
Basic qualifications
- 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.
- Proficient understanding of machine learning algorithms and architectures, as well as programming skills (e.g., Python, TensorFlow, PyTorch).
- Excellent problem-solving and analytical skills in speech or language processing domains.
- Strong collaboration and communication abilities; able to work effectively within a cross-functional team.
- Experience in deploying AI/ML models in production environments is a plus.
Tags & Focus Areas
About Oracle
Oracle Exadata is the cornerstone of Oracle Cloud's infrastructure. Our projects involve developing and delivering next-generation capabilities with cutting-edge infrastructure features that seamlessly integrate with leading hyperscaler cloud providers. Our multi-cloud solutions provide customers with flexibility, cost-efficiency, and the ability to handle large-scale AI workloads across various cloud platforms.
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