Job Description

Founded in 2014, InstaDeep, a leader in cutting-edge decision-making AI solutions, is revolutionising industries across the EMEA region. With offices strategically located in major cities worldwide, including London, Paris, Berlin, Tunis, Lagos, Cape Town, Boston, and San Francisco, InstaDeep is at the forefront of the AI revolution.

At InstaDeep, we foster a culture of innovation and collaboration, empowering our talented team to tackle complex challenges using state-of-the-art technologies. By partnering closely with diverse enterprise clients, we consistently deliver groundbreaking solutions for the most intricate industrial problems.

Our recent acquisition by BioNTech has further solidified our commitment to leading the industry. We have formed strategic partnerships with global giants like Google DeepMind and prestigious educational institutions such as MIT, Stanford, Oxford, UCL, and Imperial College London. These collaborations allow us to leverage an extensive network, driving continuous innovation and maintaining our competitive edge. As a Google Cloud Partner and one of a select few NVIDIA Elite Service Delivery Partners, we have established ourselves as trusted technical and implementation experts.

InstaDeep's excellence has been recognised consistently by industry experts. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Additionally, we secured a place on CB Insights' AI 100 ranking for three consecutive years. These accolades underscore our exceptional growth trajectory and position us alongside other renowned businesses in the industry.

Join us as we continue on our journey to transform industries, push the boundaries of AI innovation, and deliver unparalleled value to our clients.

Are you a Research Scientist with expertise in Large Language Models and Reinforcement Learning who wants to push the boundaries of AI research and contribute to groundbreaking advancements in the field?

If so, then keep readingxe2x80xa6

The Research Scientist (LLMs + Reinforcement Learning) must accomplish the following:

• Implement and develop novel algorithms and research ideas in fields such as machine learning, deep learning, computational biology, and reinforcement learning.
• Track ongoing developments in machine learning methods for biology.
• Contribute to our publication efforts.
• Encourage and support good research practices as ideas are translated into projects.
• Design and implement algorithms to leverage modern hardware.
• Report and present experimental results and research findings clearly and efficiently, both internally and externally, verbally and in writing.
• From time to time, collaborate with the business development team in their pre-sales activities, including presenting the company to prospective clients and representing InstaDeep at conferences and events.

Who you are:

• Postgraduate degree in Computer Science, Computational Biology, Machine Learning, or a related scientific field or equivalent industry experience
• Experience in developing and debugging in Python or similar languages
• Experience using deep learning frameworks such as Jax, PyTorch, and/or Tensorflow.
• Experience in publishing research in machine learning, computational biology, or other related fields
• Biological sciences: willingness to investigate the interactions between biomolecules, such as protein-protein interactions, protein-ligand interactions, or protein-nucleic acid interactions. The candidate should generally be interested in these and related areas, as this will be the main area of focus for this position.
• Sequence-based modelling: Have experience with sequence-based models such as large language models.
• Reinforcement learning: Have experience working with reinforcement learning systems in offline and online settings.

Our commitment to our people

We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we're proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team? We operate on a hybrid work model with guidance to work at the office at least 2 to 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds.

Right to work: Please note that you will require the legal right to work in the location you are applying for.

If you have any further questions, please do not hesitate to contact us at: talent@instadeep.com

InstaDeep