Research Engineer Intern - Applied








Cape Town

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Research Engineer Intern (Applied) – Cape Town

Salary: ZAR £450 - £500K + Excellent Benefits

The client:

Our client is an EMEA leader in decision-making AI products for the Enterprise, with headquarters in London, and offices in Paris, Tunis, Lagos, Dubai and Cape Town. With expertise in both machine intelligence research and practical business deployments, the Company provides a competitive advantage to its partners in an AI-first world. Leveraging its extensive know-how in GPU-accelerated computing, deep learning and reinforcement learning, the company has built products and solutions that tackle the most complex challenges across a range of industries. The firm’s hands-on approach to research, combined with a broad spectrum of clients, ensures an exciting and rewarding environment to work and thrive in. The company has also developed collaborations with global leaders in the Artificial intelligence ecosystem, such as Google DeepMind, Nvidia and Intel.

The Role:

Our clients Engineering Team, interns work with Research Engineers (REs) where they focus on understanding business problems, identifying and harnessing the right AI or cognitive computing technologies to solve them and take part in the commercial deployment of their solution.

Research is embedded in all main activities/products of the company and spans a large variety of projects. In this role, there is a particular focus on Natural Language Processing for AI protein design and/or Reinforcement Learning.

The role can include designing and implementing prototypes, creating novel architectures and/or algorithms, applying state-of-the-art techniques on real-life applications, building simple and sustainable software solutions, deploying and training algorithms at scale.



  • Participate in cutting edge research in fields such as machine learning, deep learning and/or reinforcement learning.
  • Collaborate with REs to develop highly scalable algorithms based on state-of-the-art machine learning and neural network methodologies.
  • Collaborate with the Engineering team to design and run experiments, including designing and evaluating new or known algorithms.
  • Apply knowledge of relevant research domains along with coding skills to develop industrial solutions (POC, MVP, fully deployed solution) and products (platforms and frameworks) under the supervision of REs.
  • Report and present development work clearly and efficiently, both internally and externally (clients, different audiences, etc.), both verbally and in writing.


  • Graduate in Computer Science, Mathematics, Statistics or a related scientific/engineering field.
  • Experience in developing and debugging in Python, C/C++, or similar languages.
  • Experience using deep learning frameworks such as PyTorch, Tensorflow, Keras and/or Jax.
  • Experience (classroom/work) in Machine Learning, Deep Learning, Natural Language Processing, and/or Reinforcement Learning.
  • Research and software engineering experience demonstrated via previous work experience, internships, contributions to open source projects, or coding competitions.
  • Proficiency with Git workflow, development with best coding practices.
  • Work permit for South Africa.


  • Competitive salary.
  • Working in small, diverse teams where you can make an impact.
  • Varied challenges across industries.
  • Cooperation across European and African offices.
  • Annual offsite events.

Important Information: We endeavour to process your personal data in a fair and transparent manner. In applying for this role, Additional Resources will be acting in your best interest and may contact you in relation to the role, either by email, phone or text message. For more information see our Privacy Policy on our website. It is important you are aware of your individual rights and the provisions the company has put in place to protect your data. If you would like further information on the policy or GDPR please contact us.

Additional Resources are an Employment Business and an Employment Agency as defined within The Conduct of Employment Agencies & Employment Businesses Regulations 2003.

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