Intern - Machine Learning (Speech)
3 weeks ago
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 image-based 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 results-oriented attitude- Proficiency in problem-solving and debugging
Desirable skills include:
- Experience in Generative AI, including hands-on implementation of state-of-the-art models.- Computational photography, image inpainting and 3-D 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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