Senior Machine Learning Engineer
Speechmatics · Cambridge, England, United Kingdom · Speechmatics London
CHECKED 11H AGO
Infrastructureonsitesenior
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