Golang Job: Research Engineer

*** Essential to apply for the role beside your CV:

• A one 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 ***

ABOUT INSTADEEP

InstaDeep Ltd is an EMEA leader in decision-making industrial AI products, 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, InstaDeep 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 in which to work and thrive. InstaDeep has also developed collaborations with global leaders in the Artificial intelligence ecosystem, such as DeepMind, Nvidia, and Intel. After a Series B fundraiser, InstaDeep is partnered with industry leaders and backed by world-renowned technology companies, including BioNTech, Google, and Deutsche Bahn.

JOB DESCRIPTION

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.

Among the tasks a Research Engineer is responsible for, it is important to mention: developing prototype applications, providing software design and programming support, implementing software libraries, and supporting business development.

In this role at InstaDeep you will report to a Senior or Lead Research Engineer. This role may require overseas travel.

ROLE RESPONSIBILITIES/ACCOUNTABILITIES

• Develop 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 solution) 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 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 Instadeep at conferences/events.

Person Specification

MINIMUM REQUIREMENTS

• 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 practises.
• 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..

PREFERRED QUALIFICATIONS

• 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.

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.