You will join a world-class R&D team building advanced speech recognition systems. This role bridges the gap between research and production, focusing on developing massive self-supervised models that process diverse audio data. You will push the boundaries of model inclusivity and accuracy while ensuring high-performance deployment across global infrastructure to solve complex real-world challenges.
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Senior Machine Learning Engineer at Series B VC-backed AI scaleup
Are you ready to build the world's most inclusive speech recognition technology? Join a team of deep-tech pioneers in London and ship models that process centuries of audio data every month while enjoying a hybrid culture built for deep work.
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Location
London, United Kingdom
Compensation
Not Disclosed
Company
Confidential company
Role overview
About the company
Series B VC-backed AI scaleup
What you will do
- Lead complex R&D projects to train and scale large self-supervised speech models using state-of-the-art transformer architectures.
- Optimize distributed training processes across multi-node GPU clusters to improve model performance and training efficiency.
- Implement and deploy production-ready inference optimizations, ensuring models meet rigorous real-time serving requirements for enterprise clients.
Who this is a fit for
- Extensive experience with modern ML architectures including Transformers, Flash Attention, and KV-caching in production or research environments.
- Proven track record of managing distributed training on multi-node GPU clusters and optimizing high-throughput, low-latency inference systems.
- Strong engagement with the ML community through technical publications, open-source contributions, or advanced research in audio or related fields.
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Why this role is remarkable
- Work at the absolute frontier of speech technology, training high-impact models that handle massive volumes of global audio data.
- Join a well-funded Series B organization backed by top-tier VCs with a heritage of deep-tech innovation and academic excellence.
- Benefit from a mature hybrid culture that balances deep technical focus time with structured collaborative sessions and comprehensive family benefits.
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