Senior Applied Scientist
Listed on 2026-02-16
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
- Does this position require a security clearance? Yes
- Years 0 to 2+ years
- Applicants are required to read, write, and speak the following languages English
Job Description
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 a Senior Applied Scientist of the OCI Generative AI Science team, you will work with experienced scientists and engineers to research, develop, and improve speech and conversational AI models. This role provides an excellent opportunity to deepen your expertise in speech and AI technologies, learn best practices, and contribute to the delivery of production-grade AI services serving Oracle’s global customers.
ResponsibilitiesResponsibilities
- 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.
Qualifications & Experience
- 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.
- Strong programming skills in Python and experience with deep learning frameworks such as Tensor Flow 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.
- 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.
If you’re a passionate scientist ready to own impactful projects and grow quickly while building next-generation speech AI technology, we encourage you to apply.
QualificationsDisclaimer:
Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.
Range and benefit information provided in this posting are specific to the stated locations only
US:
Hiring Range in USD from: $97,500 to $199,500 per annum. May be eligible for bonus and equity.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
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