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
Hello, I'm super excited about this role, and I believe my skills line up very well with what you are looking for. Relevant skills: Unix&bash scripting BA in applied mathematics from UC Berkeley 10 week study with Google engineers under their applied machine learning program. Familiarity with industry standard tools ( TF, Keras, Pands, Scipy, Numpy, etc. )
I'd love to chat more about the value I can bring to this position and help Lambda grow.
Best, Schuyler spikej50@gmail.com
Looky | Software Engineer, Front-end | Oakland, CA | Onsite| Fulltime
We are Looky, a VC funded (Accel) seed stage startup. We're currently at 6 people looking to add an awesome Frontend focused engineer.
Our founder, Steve McCanne, has got a pretty impressive track record: A former Associate Professor of CompSci at Berkeley, he's founded numerous success startups including Riverbed which went from nothing to IPO in 4 years with over 2000 employees and a 7.6B market cap.
We're looking to disrupt the massive Network Security market with a forward looking product. We are building a blazing fast log analytics search engine in golang and a super cool, very original Electron-based search client- think Kibana but way better.
Perhaps I'm a little biased but this is a pretty sweet opportunity :)
I'm the technical lead for the project. Would love to buy you a coffee and chat!
(We're still working on our public website)
nibs (at) looky.cloud
Voleon Group | Software Engineer, ML Engineer | ONSITE Berkeley, California | Full-Time | https://www.voleon.com
Quant hedge fund co-founded in 2007 by two leading scientists, The Voleon Group combines an academic approach to research with an emphasis on scalability and risk management to deliver cutting-edge technology at the forefront of the finance industry.
At Voleon, we approach investment management through the prism of machine learning, in which flexible statistical models are applied to the problem of financial prediction. Rather than having humans look at individual events within the marketplace, machine learning employs statistical algorithms capable of detecting persistent effects across large swaths of data.
Kalepa | Machine Learning Engineers, Backend / Data Engineers, Full-Stack Engineers | New York City, NY | ONSITE / PARTIAL REMOTE, VISA Kalepa is a New York based, VC backed, startup building software to transform and disrupt the $1T commercial insurance market.
Engineers at Kalepa will be solving interesting and challenging problems at the intersection of big data pipelines, cutting-edge machine learning models, intuitive frontend apps, and robust infrastructure. You will be working in a small team building technology from the ground up with the latest stack.
One trillion dollars are spent globally each year on commercial insurance. However, the process for estimating the risk associated with a given business across various perils is still reliant on inefficient and inaccurate forms and research. This information asymmetry leads to a broken set of incentives and a poor experience for both businesses and insurers alike. By combining cutting edge data science, enterprise software, and insurance expertise, Kalepa is delivering precision underwriting at scale. Kalepa is turning real-world data into a complete understanding of risk.
Kalepa is led by a strong team with experiences from Facebook, APT (acquired by Mastercard for $600M in 2015), the Israel Defense Forces, MIT, Berkeley, and UPenn. We are backed by IA Ventures.
More details here: https://www.linkedin.com/jobs/cap/view/1114358414/
Contact: paul.monasterio@kalepa.co