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Cambridge Research Intern – CMD Labs JEM Internship

England, United Kingdom (On-site)

Cambridge Research Intern – CMD Labs JEM Internship

2 Hours ago • Upto 1 Years • Research & Development

About the job

5 skills required for this role

Add these skills to join the top 1% applicants for this job

tensorflow

algorithms

microsoft-teams

python

pytorch

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

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.