Machine Learning Engineer

hace 4 semanas


Barcelona, Barcelona, España Happy Scribe Ltd A tiempo completo

We're seeking a talented Machine Learning Engineer to join our team at Happy Scribe Ltd. As a key member of our engineering team, you'll be responsible for developing and improving our speech-to-text technology.

Our mission is to make the internet accessible, and we're working on one of the fundamental problems of this decade: speech-to-text technology. We're 30 people at the moment, but growing fast and profitable, and we're building the team thoughtfully and with a lot of care.

As an ML Engineer, you'll have the opportunity to work on a wide range of projects, from improving our current AI models to developing new ones. You'll be working closely with our team of engineers and researchers to push the boundaries of what's possible with deep learning.

Some examples of projects you might work on include:

  • Building the scalable infrastructure needed for the transcription of the future
  • Pushing forward the state of the art of AI models, improving quality of deep learning models such as speech-to-text, speaker recognition, transcription to subtitling conversion, computer vision
  • Streamlining Machine Learning operations, such as tools to automatically update our models, benchmark competitors or automate everyday tasks
  • Improving the performance, reliability, and efficiency of our systems, finding bottlenecks in the transcription pipeline and optimizing them to reduce overall turnaround time

We're looking for someone who is passionate about deep learning, up to date with the latest research, and has strong foundations of the mathematics behind it. You should be product-focused, care about the business implications of anything you build, and be excited about our engineering principles.

We're a team of innovators, and we're looking for someone who is willing to learn and grow with us. If you're passionate about AI, machine learning, and building the future of transcription, we'd love to hear from you.



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