Cambridge Research Intern – CMD Labs JEM Internship

1 Month ago • Upto 1 Years • Research & Development

Job Summary

Job Description

This internship at Microsoft's CMD Labs within Microsoft Teams focuses on improving transcription accuracy, particularly for named entities. The intern will leverage training, fine-tuning, and prompt engineering of speech transformer models, LLMs, and audio-enabled foundation models for post-processing and re-scoring. Responsibilities include conducting experiments, creating and validating metrics, developing algorithms to enhance accuracy, and collaborating with researchers and engineers to integrate findings into the product. The role involves working with existing assets and datasets to improve the accuracy of named entity transcription and reduce errors in downstream LLM-based applications.
Must have:
  • PhD in relevant field
  • Transformer model experience
  • Python coding (PyTorch/TensorFlow)
  • Improve transcription accuracy
  • Collaborate with researchers
Good to have:
  • Research in transcription/Audio LLMs
  • Publications in related field
Perks:
  • Industry leading healthcare
  • Educational resources
  • Discounts on products and services
  • Savings and investments
  • Maternity and paternity leave
  • Generous time away
  • Giving programs
  • Networking opportunities

Job Details

Overview

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. 
 

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: 

 

  • Field of research and publications directly related to transcription or the Audio LLMs. 

 

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 and  
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Opportunities to network and connect

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