NIPS is coming to Europe between 5th and 10th December in Barcelona – meet us there, talk to us about the world of AI and maybe joining the team
We are delighted to be sponsoring NIPS 2016 in Barcelona and are looking forward to meeting everyone attending. The conference is a great opportunity for us all to share ideas, discuss recent papers and collaborate on new approaches in applying machine learning.
BenevolentAI is a British company based in London that is harnessing the power of AI to enhance and accelerate global scientific discovery. It does this by turning the world’s mass of highly fragmented scientific information into new insight and useable knowledge that ultimately benefits society. Currently we are applying our technology to drug discovery – we believe we have made more discoveries in 6 months than many biotech and pharmaceutical companies achieve in 10 years.
Our company is developing fast and so is the team. We believe our unique approach to the application of AI has helped us attract a truly international world class team comprising 60 of the brightest technology minds in deep learning, machine learning, natural language processing, data visualisation and informatics.
We are currently recruiting for a number of positions so if you’d like to join the team get in touch before the conference at firstname.lastname@example.org or come see us on our NIPS stand located in the foyer area,
help define the research agenda for the Data Science and AI team. To ensure the team explores the most appropriate research direction to achieve the maximum impact and help the Company achieve its ambitious business goals
We are looking for a Deep Learning Researcher with technical expertise in the field of applying machine learning algorithms, in particular Deep Learning, to knowledge, graph or text based complex data. Ideally we seek an individual with a sound grasp of the science behind representing complex data, in particular documents and unstructured text, making intelligent connections and identifying causal relationships.
We are looking for a Machine Learning Researcher with a combination of technical expertise, excellent skills in the field of applying machine learning algorithms, with a good appreciation of probabilistic modelling, statistical inference ideally applied to complex graph data. Ideally we seek an individual with a sound grasp of the science behind representing complex data, in particular graph theory, making intelligent connections and identifying causal relationships.
We hope to meet you all there!