Cluster Learning

Coders Connect is thrilled to be partnering with an EMEA leader in decision-making AI products for the Enterprise, with headquarters in London, and offices in Paris, Berlin, Tunis, Lagos, Dubai, Cape Town and the USA. The company has been named among the Top 100 global AI startups for three consecutive years by CB Insights, as well as one of the 100 most promising B2B companies in Europe, by Sifted. They have created an environment that ensures to challenge you by working closely with a broad spectrum of high-quality clients, pushing you to thrive in an environment that s rarely tedious and always looking to push you to come up with outside-the-box solutions using cutting-edge technologies.

In the Applied Reinforcement Learning Team, Research Engineers focus on understanding business problems, identifying and harnessing the right AI or cognitive computing technologies to solve them, and taking part in the commercial deployment of their solution.

Research Engineers intervene at every stage of the life of a project. They provide technical expertise and scope projects during pre-sales, drive research and development for Proof of Concepts (POC), develop Minimum Viable Products (MVPs), and ensure continuous improvement and research for industrialised solutions.

Are you a Research Engineer experienced in developing prototype applications, providing software design and programming support, implementing software libraries, and supporting business development?

If so then keep reading .

Who you are:

As a Research Engineer, you ll be a part of the Engineering department, you will be responsible for developing highly scalable algorithms based on state-of-the-art Machine Learning and in particular Reinforcement Learning methodologies. Collaborate with the Research department to facilitate research that enables learning the semantics of data (images, video, text, audio, and other modalities).

Apply knowledge of relevant research domains along with expert coding skills to develop industrial solutions (POC, MVP, fully deployed solutions) and products (platforms and frameworks). Adapt machine learning and neural network algorithms and architectures to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU). Report and present development work clearly and efficiently, both internally and externally (clients, different audiences, etc.), verbally and in writing. Actively collaborate with the BD team in the pre-sales activities, including but not limited to presenting the company to new prospective clients, writing decks and proposals, participating in calls and meetings, and representing the company at conferences/events.

Requirements

What you will need:

• Postgraduate degree in Computer Science, Mathematics, Reinforcement Learning, or a related scientific field (or equivalent experience).
  
• Experience in developing and debugging Python, following industry standards and coding best practices.
  
• Experience using Deep Learning frameworks such as PyTorch, Tensorflow, Keras, JAX.
  
• Strong knowledge of Deep Reinforcement Learning (Sutton and Barto).
  
• Proficiency with Git workflow in a mid to large team setting..
  
• Knowledge of C/C++, GoLang, or other languages.
  
• Research and software engineering experience demonstrated via previous work experience, internships, contributions to open-source projects, or coding competitions.
  
• Experience in deploying software to production using Docker and Kubernetes.
  
• Experience with storage systems, distributed systems, HPC, compilers, and/or CUDA programming.
  

Essential to applying for the role besides your CV:

A page Cover Letter with a link to your personal code-sharing repository and/or any relevant material related to your research/programming skills

A right to work in the United Kingdom

Benefits

• 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.
  

What you will need: Postgraduate degree in Computer Science, Mathematics, Reinforcement Learning, or a related scientific field (or equivalent experience). Experience in developing and debugging Python, following industry standards and coding best practices. Experience using Deep Learning frameworks such as PyTorch, Tensorflow, Keras, JAX. Strong knowledge of Deep Reinforcement Learning (Sutton and Barto). Proficiency with Git workflow in a mid to large team setting.. Knowledge of C/C++, GoLang, or other languages. Research and software engineering experience demonstrated via previous work experience, internships, contributions to open-source projects, or coding competitions. Experience in deploying software to production using Docker and Kubernetes. Experience with storage systems, distributed systems, HPC, compilers, and/or CUDA programming. Essential to applying for the role besides your CV: A page Cover Letter with a link to your personal code-sharing repository and/or any relevant material related to your research/programming skills A right to work in the United Kingdom