Skip to content
← Speechmatics

Senior Machine Learning Engineer

Speechmatics · Cambridge, England, United Kingdom · Speechmatics London

CHECKED 11H AGO

Infrastructureonsitesenior
Apply on the lab’s site ↗

At a glance

Highlights

  • Contribute to cutting-edge R&D advancing world-leading Voice AI technology.
  • Train large self-supervised models for most accurate speech recognition globally.
  • Ensure models deploy to production with latest ML developments.

What they offer

  • Private Medical and Dental for you and your family
  • Global working opportunities
  • Generous holiday allowance and pension/401K matching
  • Working from home allowance for tech or home office equipment
  • Parental leave support including adoption assistance and reproductive health services
  • Training and development support

Ideal candidate

Detail-oriented researcher-engineer excited by ambitious speech AI R&D and global impact. You balance big-picture thinking with precision and enjoy collaborating across teams and mentoring others.

Requirements

  • Demonstrated experience collaboratively pursuing ambitious R&D agendas
  • Precise attention to detail with awareness of big picture and ML field direction
  • Knowledge of contemporary transformer architectures and best practices
  • Experience in distributed training techniques
  • Familiarity with optimisation strategies for model inference
  • Publications in top-tier conferences preferred
  • Contributions to popular open-source repositories preferred
  • Technical writing skills via relevant publications or blogs preferred
remote policy
Hybrid with 2-3 designated office days per week

Lab profile

About Speechmatics

Autonomous speech recognition company providing accurate real-time speech-to-text APIs.

What they build

  • Real-time speech-to-text API
  • Batch transcription API
  • Voice AI platform

Known for

  • Self-supervised speech AI models
  • High accuracy in noisy audio
  • 55+ languages support

Key facts

  • Founded in 2006
  • Headquartered in Cambridge, UK
  • Series B funded
More about Speechmatics →
Apply on the lab’s site ↗