Preferred Networks | Deep Learning Researchers & Engineers | Tokyo | ONSITE, VISA, https://www.preferred-networks.jp/en/
We are a startup with ~200 members based in Tokyo, focusing on developing technology for Autonomous Driving, Robotics, and Bio-Healthcare. We love open source and are actively developing CuPy and the deep learning framework Chainer: https://github.com/cupy/cupy https://github.com/chainer/chainer Recently, we unveiled a personal robot system at CEATEC Japan 2018, exhibiting fully-autonomous tidying-up robots. https://www.preferred-networks.jp/en/news/pr20181015
We have one of the world’s largest private GPU clusters, with 1024 NVIDIA Tesla P100 and 512 V100 32Gb GPUs, and we are expanding it further with 1,024 NVIDIA V100 Tensor Core GPUs in July (https://www.preferred-networks.jp/en/news/pr20190318), and using our own custom DL chip MN-Core in 2020: https://www.preferred-networks.jp/en/news/pr20181212. Using our cluster we achieved the world record at that time of training on ImageNet in 15 minutes: https://www.preferred-networks.jp/en/news/pr20171110 Recently, we got the 2nd prize out of 454 teams in the Google AI Open Images - Object Detection Track challenge on Kaggle: https://www.preferred-networks.jp/en/news/pr20180907
We have a strong emphasis on research, and our technical advisors are Pieter Abbeel (UC Berkeley), Takeo Igarashi (the University of Tokyo), Kenji Fukumizu (the Institute of Statistical Mathematics) and Yarin Gal (University of Oxford). We continuously publish at top conferences like ICRA, ICCV, CVPR, ICLR, ICML, NIPS, NAACL, CHI, UIST, etc. Learn more about our research activities here: https://www.preferred-networks.jp/en/activities
So far we have raised over $100 million from Toyota, FANUC, Hakuhodo DYHD, Hitachi, Mizuho Bank, Mitsui & Co, Chugai Pharmaceutical and Tokyo Electron.
We have a western-style working environment with attractive salaries and benefits in the heart of Tokyo. Ability to communicate in either English or Japanese is OK. We are looking for talented individuals with skills in various areas related to cutting-edge deep learning applications in many industries. Find out more, and apply for all positions here: https://www.preferred-networks.jp/en/jobs
Mouldbox | Frontend | Oxford, UK | Onsite | https://mouldbox.com
Mouldbox are adding automation into the composites manufacturing process. Our technology helps to make moulds for parts which go on superyachts, electric cars and aeroplanes. Founded in 2018 Mouldbox have raised venture capital funding in 2019 and has received government grants. We are a team of 6 and expect to double our headcount in the next year.
Feel free to reach out directly to me if you have any questions (I'm the CTO), email@example.com
* All open roles: https://mouldbox.workable.com/
Edplus | Front End Engineer | On-site preferred Oxford, England | Full-time/80% FTE
Edplus is an Oxford University Edtech spinout and we just launched our app to help kids learn out of school. Read more about us here - https://edplus.app.
We’re a small team, four of us working full time supported by freelancers, so there’s also a lot of scope to define your role.
The front end stack is currently react/react-native with plenty of greenfield projects in the pipeline, including an SDK, web app, and more.
If you’d like to hear more email me at ed [at] edplus dot io
Ninety Percent of Everything | Data Scientist | London | ONSITE
Contrary to popular belief it is not planes but huge sea-faring vessels which are responsible for transporting more than 90% of all products across the globe each and every day. Our customers own and manage container ships, tankers, car carriers and bulk carriers which navigate the high seas 24/7 monitored by land-based maritime experts. Ninety Percent of Everything are making the next generation of apps which enable this to happen with the click of a button.
We’re a London-based startup consisting of Physicists, Mathematicians, Engineers of all stripes, Developers, Designers, Maritime specialists and industry veterans.
Our office is in the heart of London, next to both Hyde Park and Oxford Street.
The tech we use: Python, pandas, sklearn, tensorflow, flask, SQL, git, http, grpc, influx, elasticsearch, kafka, kubernetes, docker
The theory we use: Statistics, probability, newtonian mechanics, fluid dynamics
We're looking for candidates with at least an undergraduate degree in Mathematics, Physics, Engineering or Statistics. We welcome applications from junior candidates. Please send your resume to firstname.lastname@example.org