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Speechmatics

Cloud-based ASR platform with multilingual transcription

Senior Machine Learning Engineer

Natural Language Processing & LLMsUpdated on Nov 11
Full-timeCambridge, UKNo salary listedIn-person

About the Job

Requirements

  • Demonstrated experience in collaboratively pursuing ambitious research and development agendas.
  • Precise attention to detail and understanding of how the broader context relates to company goals and the direction of machine learning.
  • Knowledge of contemporary transformer architectures, such as grouped-query attention and key-value caching, and related best practices.
  • Experience with distributed training techniques.
  • Familiarity with model inference optimization strategies, such as dynamic batching, flash attention, and speculative decoding.

Responsibilities

  • Work on complex research and development projects with a diverse group of engineers to achieve ambitious goals.
  • Stay current with the latest developments in machine learning.
  • Execute high-impact projects to ensure team success.
  • Work collaboratively across departments and mentor team members where appropriate.

Desired Qualifications

  • Publications in top-tier conferences.
  • Contributions to popular open-source repositories.
  • Technical writing skills evidenced by relevant publications or blogs.

About the Company

Speechmatics

Cloud-based ASR platform with multilingual transcription

Speechmatics provides automatic speech recognition (ASR) technology that converts spoken language into text. It offers a platform-as-a-service (PaaS) with an API, enabling developers and businesses to embed real-time or batch transcription into their apps and workflows. Deployment options include cloud, on-premises, and on-device to support different security needs. The models are trained on millions of hours of unlabeled audio to support many languages, dialects, and accents, including a Global English model that handles major English accents with a single backbone. Distinguishing features include speaker identification, automatic punctuation, translation, and products like Ursa and Flow. The company targets media, contact centers, enterprise communications, and healthcare, and uses a usage-based pricing model with tiers and custom enterprise licensing. Its goal is to make speech-to-text accessible and accurate for diverse voices across industries.

Company size
51-200
Company stage
Series B
Total funding
$81.6M
Headquarters
Milton, United Kingdom
Founded
2009

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