Rad AI | Software Engineer | Berkeley, CA | Onsite | Full-time
Rad AI applies deep learning to radiology in order to save lives and reduce the cost of healthcare. We’re based in Berkeley (two blocks from BART) and backed by top investors. We believe that strong teams working closely together create audacious companies that transform our world for the better.
Our world-class team of engineers is building and deploying products that will make a difference in millions of people’s lives. You’ll be an early team member, helping us shape the long-term vision for Rad AI’s future. Our benefits include health, dental and vision coverage, unlimited paid vacation, catered lunches, and unlimited snacks.
Here at Rad AI, we’re focused on transparency, inclusion, close collaboration, and building an incredible team. Come and help us make a difference!
You can apply here: https://jobs.lever.co/radai/c4d80f47-a232-48f8-9320-59c8fcd7...
Preferred Networks | Researchers & Engineers | Tokyo | ONSITE, VISA, https://www.preferred-networks.jp/en/
We are a startup with more than 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 (University of Tokyo), Kenji Fukumizu (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, Tokyo Electron and JXTG.
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
Voltaiq | Battery Analytics | Berkeley, CA | Product Manager | ONSITE | Authorized to work in US
“The battery is the technology of our time.” -The Economist
The Voltaiq cloud-based Battery Intelligence software platform brings unprecedented data analytics, visualization, and predictive capabilities to any company with a battery-powered business model. Top automakers, consumer electronics, and energy storage companies use Voltaiq to accelerate product development, improve performance, ensure safety and reliability, and secure financing for their products. Our high-powered team is comprised of PhD scientists, expert data professionals, and battery industry veterans, all passionate about enabling the global energy transition. Voltaiq has offices in Berkeley, CA and Munich, Germany serving customers around the world.
The role: - Manage the product lifecycle from user research and requirements definition to the tactical execution of building and launching a live product - Understand customer needs and workflows through direct interaction with customers, as well as collaboration with our Sales and Customer Success teams - Iterate with the design team to create UX solutions that are simple, coherent, and powerful - Prioritize work and participate in sprint planning as the product owner - Facilitate customer feedback sessions to gather direct input on product usability and feature success - Define and track KPIs to evaluate feature adoption and feature success
Qualifications: - 5+ years enterprise SaaS product management focused on defining functional requirements and driving implementation - Proven track record shipping early-stage products - Strong user empathy, with a focus on delivering value to end users - Experience working on end-to-end features, from iterating with UX through working with engineering to define APIs - Desire to drive a mature product management process at a fast-paced startup - A passion for working to accelerate the global transition to clean energy
Voltaiq is an equal opportunity employer. Competitive salary plus equity and full benefits.
Full job descriptions and application portal at: https://www.voltaiq.com/about-us/careers/all-open-positions/
Voltaiq | Battery Analytics | Berkeley, CA | Director of Engineering | ONSITE | Authorized to work in US
“The battery is the technology of our time.” -The Economist Voltaiq's cloud-based Battery Intelligence software platform brings unprecedented data analytics, visualization, and predictive capabilities to any company with a battery-powered business model. Top automakers, consumer electronics, and energy storage companies use Voltaiq to accelerate product development, improve performance, ensure safety and reliability, and secure financing for their products. Our high-powered team comprises PhD scientists, expert data professionals, and battery industry veterans, all passionate about enabling the global energy transition. Voltaiq has offices in Berkeley, CA, and Munich, Germany, serving customers around the world.
Qualifications: - Ability to lead and inspire in a hands-on fashion
- High EQ
- 3+ years of engineering management experience
- Experience running Agile development processes, specifically Scrum
- Past experience as an individual contributor software engineer
- Technical experience with data modeling and storage, unit and integration testing, Python web frameworks (Django is a plus), scaling SQL databases (Postgres is a plus)
- Comfortable with accountability
Competitive salary plus equity and full benefits.
Full job descriptions are on our website: https://www.voltaiq.com/about-us/careers/all-open-positions/
Materials Project | Berkeley, CA | ONSITE | Full-time | https://materialsproject.org
Berkeley Lab (https://www.lbl.gov/) is looking for a talented web developer who will work on building powerful web-based tools for materials scientists on the Materials Project team (see https://materialsproject.org). The Materials Project is one of the world’s foremost databases of computed materials science data, and has helped pioneer a change in how we design and search for new materials, with a large active community of users in both academia and industry. We use millions of CPU hours a year in our calculations, and all of this data is publicly available and free of charge, and we develop all our software openly and under open source licenses.
This is a great opportunity for a developer with an interest in science and energy-related innovation. You'll work with a team of scientists and engineers and will have a major impact on any aspect of the project that interests you — from application architecture to data visualization.
A successful applicant will have experience in:
* Web services technologies and REST APIs
Ideal applicants will also be experienced with:
* Python and Django (or similar framework)
* Writing unit- and end-to-end tests for client side applications
* Unix environments
* User interface design principles
A successful applicant will also:
* Be keen to work as part of a small team, including working with other researchers (graduate students, postdoctoral researchers, collaborators) who are excited about sharing their data with the world
If you're interested in applying, or you simply want to ask some questions about the position (I’m the team’s lead web dev), feel free to ping me at email@example.com. The official position description and application portal is at <https://jobs.lbl.gov/jobs/web-developer-1934>, but because Berkeley Lab is a public research institution, the hiring/contract style is different than a typical industry job (e.g. “1-year term appointment” means guaranteed for 1 year at minimum -- this position definitely has long-term, extension-without-reapplication potential; full benefits start from day 1; etc.), so again please feel free to ping me for any clarification. :)
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/
LeanTaaS | Software Engineer, Data Engineer, Data Scientist, DevOps Engineer, QA Engineer, QA Lead / Release Manager | Charlotte, NC OR Santa Clara, CA | Onsite | Fulltime
We're hiring backend Python and Java developers, frontend Angular developers, QA engineers, data scientists, data engineers and more. Job openings can be filled in Santa Clara or Charlotte, NC.
Everyone complains that our healthcare system is inefficient and costly. If the idea of working with smart people to actually solve the problem and make it significantly better for our future generations seems worth your time, reach out to me directly at firstname.lastname@example.org and I'll put you in touch with the right hiring manager.
We're a Series C funded healthcare tech company based in Silicon Valley obsessed about making our hospitals more efficient with data science and machine learning. 65+ healthcare organizations including the likes of Stanford, Duke, NYP, Dignity, Memorial Sloan Kettering, Tenet and more rely on our products to lower patient wait times, improve staff satisfaction and overall financial performance.
Our team includes successful entrepreneurs, engineers, product managers and data scientists from Google, LinkedIn, Apple, Symantec MIT, Stanford, UC Berkeley, Google, McKinsey, and more. We've raised $55 million to date from top tier VCs in Silicon Valley. CBInsights recently named us among the top 100 AI companies in the world.
On the data engineering side, our stack is Airflow/Python. On the web services side, our stack is Java/Play and Angular 2/Typescript. We're fully cloud hosted on AWS and leverage modern tooling and automation to produce high quality code - and we ship every week!
Our vision is to build an "Air Traffic Control" for hospitals - a centralized command and control center that routes the right information to the right department as patients flow through the system - if we get that right, we'll be able to significantly make our hospitals more efficient and eliminate waiting and wastage and solve the problem once and for all.