Intern - Machine Learning (Speech) - Staines-upon-Thames, United Kingdom - Samsung Electronics

Tom O´Connor

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Tom O´Connor

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Description
Position Summary

Role and Responsibilities

As a Machine Learning - Intern, you will:

  • Innovate & develop state-of-the-art solutions to industry relevant problems in the field of on-device machine learning (audio/speech domain)
  • Actively propose and prototype novel research ideas/solutions considering real-world constraints
  • Work on complex systems and develop research ideas into production ready software
  • Incorporate software engineering practices at both research and development stages
  • Communicate and disseminate research results via papers and/or reports
Skills and Qualifications

Required- Perusing PhD degree in ML/AI, Computer Science/Engineering, Electrical Engineering, Mathematics, Statistics, or related disciplines- Strong fundamentals in machine learning and artificial intelligence- First author publications in top ML/AI conferences/journals (e.g.

, ICML, NeurIPS, ICLR, CVPR, SysML, INTERSPEECH, IEEE TPAMI, IEEE IoT, IEEE TNNLS, JMLR or similar)- Machine Learning experience in least one of the following domains:

  • Speech Recognition-
  • Speech Enhancement-
  • Audio Processing and Generation-
  • Generative AI-
  • Demonstrated success:
  • Strong development skills with Python and/or C/C++ is required.-
  • Experience with programming using popular machine learning frameworks such as PyTorch and/or Tensorflow-
  • Creating comprehensive and well-written documentation.-
  • Familiarity with software engineering practices and tools such as Git-
  • Excellent communication, teamwork and a results-oriented attitude
  • Proficiency in problem solving and debugging
Desirable- A proven track record of developing complex training and inference pipelines- Knowledge of embedded and/or distributed machine learning methods and tools- Experience with model optimization, profiling and performance improvement of AI pipelines- Experience and knowledge in AI based audio generation and processing- Contribution to open source software libraries


Essential skills are:

  • Currently studying for a PhD in Mathematics, Computer Science or a related discipline (or just completing).
  • Computer vision, machine/deep learning or related fields
  • Expertise in imagebased 3D reconstruction: Photogrammetry, Neural Radiance Fields (NERF) or Gaussian Splatting techniques.
  • Strong programming skills in Deep Learning libraries like Pytorch and/or TensorFlow
  • Programming proficiency one or more of programming language and APIs like C++/Java/Python
  • Excellent communication, teamwork and a resultsoriented attitude
  • Proficiency in problemsolving and debugging

Desirable skills include:

  • Experience in Generative AI, including handson implementation of stateoftheart models.
  • Computational photography, image inpainting and 3D vision
  • Model optimization and knowledge distillation.
  • Experience in computer graphics and rendering: design and development of software such as OpenGL, OpenGL ES, Vulkan or DirectXContract type: 6 month internship

Start date:
immediate start (as soon as possible)


Location:
Staines-upon-Thames, Surrey, UK

Hybrid Policy: 3 days onsite and 2 days working from home weekly

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