Machine Learning Internship at Speechmatics

Speechmatics logo
Speechmatics

Machine Learning Internship

gb flag
United Kingdom

Hybrid

Full Time

#Machine Learning

#Speech Recognition

#Artificial Intelligence

#Python

#PyTorch

#TensorFlow

#HPC

#Data Pipelines

Speechmatics is looking for a Machine Learning Internship

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At Speechmatics, our mission is to understand every voice, regardless of language, accent, or background. We are the leading experts in Speech Intelligence, using advanced artificial intelligence and machine learning to unlock value in human speech for global organizations. By training billion-parameter neural networks on massive datasets, we consistently outperform industry giants like Google and Amazon. We are now looking for passionate individuals to join our team and help us push the boundaries of what is possible in speech recognition and AI research.

The role

We are looking for a student to join us as a Machine Learning Intern on a full-time basis. This is an ideal position for an aspiring scientist who wants to accelerate their career and gain hands-on experience in production-level machine learning. Based in the United Kingdom, this role follows a hybrid work model, balancing the benefits of remote flexibility with the synergy of in-person collaboration at our offices.

Core responsibilities

  • Develop and ship new products, such as Speaker ID, by managing the full lifecycle from model training to production deployment.
  • Engineer and optimize data preprocessing pipelines capable of handling trillions of words across thousands of cores.
  • Scale self-supervised learning models across hundreds of GPUs in the cloud to improve our world-leading accuracy on challenging audio.

Skills and experience

We are looking for candidates who possess a mix of technical ability and a strong desire to learn. You should have experience in the following areas:

  • Current enrollment in a STEM degree program.
  • Proficiency in Python, with additional experience in PyTorch, TensorFlow, or HPC clusters being highly advantageous.
  • Familiarity with tools for building large-scale data pipelines and model training.
  • A portfolio demonstrating 1 or 2 personal machine learning or software engineering projects completed outside of your academic coursework.

Compensation and benefits

We believe in supporting our team members at every stage of their professional journey. Our benefits package includes:

  • Flexible working hours and a hybrid work environment.
  • Comprehensive medical and dental insurance for you and your family.
  • Paid time off and a generous holiday allowance.
  • 401k matching and pension support.
  • A dedicated home office budget to ensure you have the equipment you need to thrive.
  • Support for parents, including reproductive health services and adoption assistance.

How to apply

If you are excited about our mission to understand every voice and want to work with some of the smartest minds in the industry, we encourage you to apply. We recognize that you may not match every single requirement listed, and we welcome applications from anyone with a growth mindset and a passion for technology. We look forward to hearing from you and learning more about your unique perspective.

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