Machine Learning Engineer

June 3

🏢 In-office - Cambridge

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Logo of Speechmatics

Speechmatics

World leading experts in Speech Intelligence. Unlocking business value in human speech using AI and Machine Learning.

Machine learning • Deep neural networks • Automatic speech recognition • Speech recognition

51 - 200

Description

• Working on scaling self-supervised learning models • Experimenting with model speed-up techniques • Comparing efficiencies of different architectures • Developing state-of-the-art AI features • Advancing end-to-end speech models • Giving a journal club on a recent paper

Requirements

• Want to learn more about speech recognition and representational learning • Results driven and enjoys moving fast • Enjoys working in collaborative and ambitious teams • Has a growth mindset and enjoys developing themselves and others • Enjoys solving challenging problems and delving into unfamiliar code • Enjoys optimizing code

Benefits

• Very collaborative culture • Pair programming with colleagues • Reviewing code and suggesting new approaches • Brainstorming novel strategies for analysis

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