Samsung Intern – Audio & Speech AI - Immediate Start 

United Kingdom, England, Borough of Spelthorne 

199257619

This is a 6 month internship based in Staines-upon-Thames, Surrey, UK. We operate a hybrid working model of 3 days onsite and 2 days working from home weekly. This is an urgent requirement so we politely request that you only apply if you are able to start the job within 1 month of accepting it.

Role and Responsibilities

As a Speech/Audio AI - Intern, you will:

• Innovate & develop state-of-the-art solutions to industry relevant problems in the field of on-device speech and audio AI

• 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

Required:

• Perusing PhD degree in ML/AI, Computer Science/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, ICASSP, INTERSPEECH, IEEE TPAMI, IEEE IoT, IEEE TNNLS, JMLR or similar)

• Machine Learning experience in least one of the following domains:

  • Automatic Speech Recognition (ASR)

  • Speech Enhancement

  • Audio Processing and Generation

  • Generative AI – especially Audio domain

• 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:

• Experience using open source speech processing toolkits such as HuggingFace, SpeechBrain, ESPnet, Kaldi, NeMo, etc.

• 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

Contract Type:6 month internship

Start date:Immediate (within 1 month of accepting the role)

Hybrid Working:3 days onsite and 2 days working from home

. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click :