Intern – Audio & Speech Ai - Immediate Start jobs at Samsung in United Kingdom, Borough Of Spelthorne

We encourage enthusiastic researchers with strong academic background and expertise in machine learning and computer vision to apply. You will be poised to grow and expand your programming skills and expertise into a dynamic new set of research problems. This position will require you to work closely with researchers and engineers to enable and accelerate new research efforts for on-device AI.These will be 3 month internships to begin as soon as possible. We politely request that you only apply if you already have the right to work in the UK and you able able to start the role within 1 month of accepting it.

Role and Responsibilities

As an Intern, you will:

• Innovate & develop state-of-the-art solutions to industry relevant problems in the field of on-device visual and multi-modal 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.

Essential:

• Perusing MSc or 1st year of PhD degree in ML/AI, Computer Science/Engineering, Mathematics, Statistics, or related disciplines.

• Strong fundamentals in machine learning and computer vision.

• Experience in least one of the following domains:

  • Computer vision.

  • Data clustering.

  • Multi-modal AI.

• Demonstrated success:

  • Strong development skills with Python.

  • 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 (not essential):

• Experience in least one of the following research topics:

  • Foundation models (e.g. vision transformers, visual-language models).

  • Multi-view clustering.

  • Model compression (e.g. distillation, quantization, pruning).

  • Model fine-tuning.

• Publications in top ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, CVPR, SysML, ICASSP, similar).

• 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.

• Contribution to open source software libraries.

Contract type:3 month internship

Start date:August / September 2025

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

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

The role would suit a PhD student looking for an internship or a PhD graduate who is looking for a 6 month contract.The location is Staines-upon-Thames, Surrey, UK. We operate a hybrid model of 3 days onsite and 2 days working from home weekly. It is an urgent requirement so we politely request that you only apply if you can start the job within 1 month of accepting it.

Role and Responsibilities

As a Multimodal AI - Intern, you will:

• Innovate & develop state-of-the-art solutions to industry relevant problems in the field of on-device audio-visual 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 Skills:

• 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., CVPR, ICCV, NeurIPS, ICML, ICLR, ICASSP, INTERSPEECH, IEEE TPAMI, IEEE IoT, IEEE TNNLS, JMLR or similar)

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

  • Multimodal LLMs – audio and/or video

  • Contrastive Learning (e.g. multi-modal feature alignment)

  • Model compression methods (e.g. quantization, pruning, knowledge distillation)

• 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 Skills:

• Experience in multimodal emotion recognition and foundational face models.

• Experience in multi-task learning and deception detection.

• 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

• Contribution to open source software libraries

Contract Type:6 month internship or 6 month outsourced contract via agency

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

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

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 :