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We are looking to hire an intern to join CMD Labs – an applied science team within Microsoft Teams – to work on improving transcription accuracy, with emphasis on named entities (e.g., names of people/products/teams etc.) by leveraging training, fine tuning, and prompt engineering of speech transformer model, as well as LLMs and audio-enabled foundations models as post-processing and re-scoring modules.
Responsibilities
Conduct experiments, create and validate metrics, and develop candidate algorithms to improve the accuracy of transcription of named entities and reduce chances of error in downstream LLM-based applications.
Collaborate closely with CMD Labs researchers and engineers to leverage existing assets, datasets, and ensure results can be leveraged back into the product.
Embody our culture and values
Qualifications
Required/Minimum Qualifications: _ _ _ _
Currently enrolled in a PhD program in Computer Science, Electrical or Computer Engineering, Statistics, or a related field.
Practical experience in training, fine-tuning, and prompt engineering of transformer models or LLMs.
Practical Python coding experience leveraging PyTorch or TensorFlow or similar framework
Other Requirements: _ _
Preferred/Additional Qualifications:
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .
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