<div dir="ltr"><p dir="ltr" style="font-size:12.8px;line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-family:arial;color:rgb(0,0,0);background-color:transparent;font-weight:700;vertical-align:baseline;white-space:pre-wrap">Deep Learning Research Scientist (Toronto) </span></p><br style="font-size:12.8px"><p dir="ltr" style="font-size:12.8px;line-height:1.38;margin-top:0pt;margin-bottom:8pt"><span style="font-family:arial;color:rgb(51,51,51);vertical-align:baseline;white-space:pre-wrap">Twenty Billion Neurons (<a href="http://www.twentybn.com/" target="_blank">www.twentybn.com</a>) is a deep learning startup based in Berlin (Germany) and Toronto (Canada). Our mission it is to let machines perceive and understand the world. We train neural networks on videos to make fine-grained predictions about actions, objects and the state of the world. This allows us to solve video analysis use-cases, while improving the understanding of scenes and situations and providing visual grounding for AI. We created our own video crowdsourcing platform to collect very large real-world datasets for learning both generic and task-specific video features. We will have several research openings in our Toronto lab.</span></p><p dir="ltr" style="font-size:12.8px;line-height:1.38;margin-top:0pt;margin-bottom:8pt"><span style="font-family:arial;color:rgb(51,51,51);font-weight:700;vertical-align:baseline;white-space:pre-wrap">Tasks </span></p><ul style="font-size:12.8px;margin-top:0pt;margin-bottom:0pt"><li style="margin-left:15px;list-style-type:disc;font-family:arial;color:rgb(51,51,51);vertical-align:baseline"><p style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap">Explore neural network architectures for video understanding and making detailed predictions about visual scenes. </span></p></li><li style="margin-left:15px;list-style-type:disc;font-family:arial;color:rgb(51,51,51);vertical-align:baseline"><p style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap">Perform research on recurrent networks, attention policies, transfer learning and scaling up training. </span></p></li><li style="margin-left:15px;list-style-type:disc;font-family:arial;color:rgb(51,51,51);vertical-align:baseline"><p style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap">Participate in the development of real-time inference methods. </span></p></li><li style="margin-left:15px;list-style-type:disc;font-family:arial;color:rgb(51,51,51);vertical-align:baseline"><p style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap">Publicise your work through blog-posts and/or conferences or journals such as ICLR, NIPS, CVPR, PAMI. </span></p></li></ul><br style="font-size:12.8px"><p dir="ltr" style="font-size:12.8px;line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-family:arial;color:rgb(51,51,51);vertical-align:baseline;white-space:pre-wrap">We also occasionally co-supervise thesis and project work associated with university programs (MSc/PhD/Postdoc). If interested, please send us an informal inquiry at the email address below. </span></p><br style="font-size:12.8px"><p dir="ltr" style="font-size:12.8px;line-height:1.38;margin-top:0pt;margin-bottom:8pt"><span style="font-family:arial;color:rgb(51,51,51);font-weight:700;vertical-align:baseline;white-space:pre-wrap">Requirements </span></p><ul style="font-size:12.8px;margin-top:0pt;margin-bottom:0pt"><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-family:arial;color:rgb(51,51,51);vertical-align:baseline"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap">PhD or MSc in computer science or a related area with a strong focus on Deep Learning. </span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-family:arial;color:rgb(51,51,51);vertical-align:baseline"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap">Very good knowledge of Python, and experience with Tensorflow, Theano or a similar DL framework. </span></p></li><li dir="ltr" style="margin-left:15px;list-style-type:disc;font-family:arial;color:rgb(51,51,51);vertical-align:baseline"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="vertical-align:baseline;white-space:pre-wrap">Strong programming skills and knowledge of (or at least interest in) software engineering practices for working in teams. </span></p></li></ul><br style="font-size:12.8px"><span style="font-size:12.8px;font-family:arial;color:rgb(51,51,51);vertical-align:baseline;white-space:pre-wrap">To apply, send your resume or CV, transcripts, and any other information you consider relevant (ideally in a single pdf-file) to: </span><span style="font-size:12.8px;text-decoration:underline;font-family:arial;vertical-align:baseline;white-space:pre-wrap"><a href="mailto:careers@twentybn.com" style="font-size:12.8px;text-decoration:none" target="_blank">careers@twentybn.com</a></span><div><span style="font-size:12.8px;text-decoration:underline;font-family:arial;vertical-align:baseline;white-space:pre-wrap"><br></span></div><div><span style="font-size:12.8px;text-decoration:underline;font-family:arial;vertical-align:baseline;white-space:pre-wrap"><br></span></div></div>