Machine Learning Engineer

London, United Kingdom

Unverified relocation package

About Papercup

At Papercup, we want to use the power of our voice translation technology to help content creators expand their audience reach internationally. Using a cutting-edge approach to speech processing, we're auto-translating the audio track on videos by generating a voice that sounds similar to the original speaker - but in different languages!

Position

As a Machine Learning Engineer, you'll be a core part of our machine learning development team, which focuses on state-of-the-art research in speech synthesis, optimizations and deployment of ground-breaking machine learning models in the field.

Why it's exciting:

Take on unsolved problems in machine learning and speech synthesis
Bring your research to life. You can work on research and engineering across our pipeline
Focus on areas of research and development you want to work on
Work with a great team with degrees in speech processing and machine learning from Cambridge, Edinburgh and UCL
Run workshops with our academic advisers who are leaders in the field of speech synthesis
Publish your work at top Machine Learning or Speech Technology conferences

Your qualification

Have 3+ years of industry experience as a Machine Learning Engineer
Have 2+ years of experience with PyTorch or TensorFlow
Love getting your hands dirty with experiments and implementations
Enjoy reading papers and are always up to date with the newest ML or speech processing
Research think critically, separate your ego from the problems at hand and iterate fast
Are knowledge hungry and want to redefine what's possible

Will be a plus

Experience with DevOps technologies such as Docker containers and queuing systems and knowledge of cloud frameworks, CI-CD
Experience with lower-level programming languages such as C++ or CUDA
Knowledge of speech processing frameworks such as Merlin, Kaldi, etc