Ozora Research | Engineers, Linguists | Berkeley, CA | Part-Time | Onsite | Equity
My company, Ozora Research, is developing a next-generation suite of Natural Language Processing tools centered around sentence parsing. We spend our time thinking deeply about the structure of language and then building statistical models that capture the structure. The requirements are: a good background in mathematics and statistics, and a deep interest in language and linguistics. Programming skill is a huge plus, but not an absolute requirement.
I believe we are poised to make a huge dent in the world of NLP and linguistics. The field of automated parsing has been bogged down for the last 20 years because of its dependence on labelled training data (e.g the Penn Treebank). In my research I've discovered a way to circumvent that limitation, by building and evaluating sentence parsers using only a large amount of raw text data. I've spent the last couple of years validating the approach, and now that I'm confident it works, I'm looking to build up a team.
I have a nontraditional, minimalist and cockroachy business plan that won't appeal to everyone, but I can promise you that if I get rich you will also. I can also guarantee that you will get a ton of great experience that you would be tough to get at a big company. I want to especially encourage the following types of people to reach out:
- Recent grads in technical fields who want to break into the software engineering industry
- People who have had some success in mainstream software engineering careers, but are now bored and want to try something new
- People who want are thinking about going to graduate school in CS/ML/AI/NLP and want some experience doing research in that area
I'm happy to talk more about the specifics in person. Email me at daniel dot burfoot at gmail.
Preferred Networks | AI Researchers & Engineers | Tokyo | ONSITE, VISA, https://www.preferred-networks.jp/en/
We are a startup with ~150 members based in Tokyo, focusing on developing AI 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. 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 advisor is Pieter Abbeel (UC Berkeley). We continuously publish at top conferences like ICRA, ICCV, CVPR, ICLR, ICML, NIPS, NAACL, CHI, etc. We are a gold sponsor of NIPS this year. 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 AI applications in many industries. Find out more, and apply for all positions here: https://www.preferred-networks.jp/en/jobs
Rigetti | Quantum Computing | Berkeley, CA | Onsite
Rigetti Computing is building the world’s most powerful computers to help solve humanity’s most pressing and important problems.
We're hiring software engineers, data engineers, and data scientists as well as for other positions: https://www.rigetti.com/careers
We're particularly interested in engineers and scientists who are comfortable working with manufacturing and experimental data. Prior experience with SQL, Julia, Python, Typescript, Docker, and/or visualization is helpful, as is a background in the physical science or experience working in a laboratory setting. If this sounds like you, please also email alex.mellnik@ and steven@ the expected suffix directly.
Intact Solutions | Multiple Positions | Berkeley, CA or Madison, WI | www.intact.design
We're building fully-automated finite element analysis for the web. Think of it like continuous integration, but for mechanical engineers. We're looking for folks with interest in computational physics/engineering and a passion for taking complicated engineering problems and making them understandable to users.
We are a spinoff of the University of Wisconsin, Madison, and much of our technical hurdles are in turning novel research ideas into production code. To that end, we're looking to hire for three roles:
- Research Scientist/Engineer
- C++ Engineer
- Javascript/WebGL Engineer
Full careers page here: https://www.intact-solutions.com/careers/
Feel free to reach out for more info: ataber@intact-solutions.com
At Ondaka we’re all about visual, industrial, intelligence. Our mission is to help our heavy industry & critical infrastructure customers access mission-critical information quickly and efficiently by building intensely visual data management tools and services that empower them.
Why Ondaka:
Our Bay area team (Berkeley, Cornell, Queen’s & Yale) is developing the next generation of industrial SaaS products that will help everyone from riggers and roughnecks to engineers and executives improve safety and increase profitability at critical infrastructure sites the world over. Using the techno magic of photogrammetry, our platform serves up hyper-realistic representations of sites and equipment as-built and layers them with contextually relevant information. If you’ve never gotten over your childhood love of big machines doing big jobs, but are mature enough to recognize the value that big data brings to this equation, you should drop what you’re doing right now and apply. Having a baby? Text us between contractions! We all have kids and we can help…PUSH! Interviewing for another job? Stand up and walk out, we’re better! Robbing a bank? Call the cops and turn yourself in, seriously what were you thinking?
What we're looking for:
Backend Developer (Node.js & MongoDB) (Onsite): https://angel.co/ondaka/jobs/427679-backend-developer-node-j...
iOS Developer (Onsite): https://angel.co/ondaka/jobs/427683-ios-developer
Computer Vision / Machine Learning Engineer (Onsite/Toronto/Remote): https://angel.co/ondaka/jobs/427693-computer-vision-machine-...
LeanTaaS | Santa Clara, CA | Full Time | ONSITE ONLY | Salary + Equity + Full Benefits
BETTER HEALTHCARE THROUGH MATH.
Series B Funded by top healthcare investors Ex-Google/McKinsey/MIT/Stanford Team
LeanTaaS is a fast growing healthcare predictive analytics company that uses sophisticated math and lean principles to make healthcare providers more efficient. Our technology helps millions of people wait less at hospitals and specialty clinics across the country.
LeanTaaS’ customers include some of the nation’s largest hospitals including 15 of the top 30 Cancer Centers. Our team includes veteran executives and the brightest minds from Google, McKinsey, Stanford, MIT, Duke, Berkeley, UIUC, and more.
We are looking for Engineers, Data Scientists and Product Managers who possess an entrepreneurial, scrappy personality and the talent to think outside the box to problem solve and get things done.
Job descriptions can be found at http://leantaas.com/careers
BUILD TECHNOLOGY THAT SAVES LIVES!!
Kloudless | https://kloudless.com/
Jobs: Platform Engineer, Solutions Engineer, DevOps Engineer, Engineering Manager, Frontend Engineer, Campaign Manager, Product Marketer, Business Development Representative, Account Executive
Full-Time, Onsite | Berkeley, CA & Taipei, Taiwan
We're a Series A SaaS company building a developer tool—a unified API—to simplify your integration woes. With our one-to-many approach, you can easily connect your application to 50+ software services using just our API.
We're growing rapidly and are hiring in our offices in both Berkeley, CA and Taipei, TW - come join us!
DrivenData Labs | Software Engineer (Python) With Focus On Data Applications | Berkeley, CA | FULL-TIME, ONSITE | http://drivendata.co
-- OVERVIEW --
DrivenData brings the transformative power of data science to organizations tackling the world's biggest challenges. We run online machine learning challenges with social impact, and we work directly with mission-driven organizations to drive change through machine intelligence and analytics.
We are looking for a talented software engineer who is interested in using their job to take on tough social challenges, while growing their data acumen and building real-world applications. As a core member of a small team your role will include managing code development, brainstorming approaches to engineering problems, working closely with data science and machine learning developers, and taking an open and constructive mindset to getting things done across multiple projects. You'll work directly with data scientists that started their careers as software engineers, bringing an experienced understanding of software processes alongside opportunities to learn new quant skills, tools, and ways of approaching data applications.
-- ROLE --
This is a software developer role ideal for a Python engineer with 3-5 years of professional experience who is interested in data (possibly looking to transition into data engineering or data science). Advanced proficiency in Python and comfort with Linux a necessity. Good opportunity to learn the quant skills necessary to work in the data space. No need to have a background in math or a CS degree, but the job will involve a lot of quantitative thinking so the applicant should not be afraid of math.
Working on a small team means doing a little bit of a lot of things. We're looking for somebody who can ask the right questions to figure out what is important, iterate between brainstorming together and working independently, and exercise sound engineering judgment to make reasonable decisions under conditions of ambiguity.
Doing client-facing work involves turning uncertainty into a reasonable path forward. As a team, we value arguments for how to proceed based on evidence, and we want somebody who will present their opinion and engage in a discussion around the best way forward.
Here are some of the things you'd be doing on an ordinary day:
- Internal software development: Maintain our Django codebase for drivendata.org, fix bugs, add features, safely refactor and maintain test coverage. Develop new internal tooling and improve on existing apps.
- Client-facing software development. Build a variety of applications, generally small green-field proofs of concept. Quickly learn and adopt new technologies on demand based on client needs; a typical engagement may include at least one data technology we haven't all worked with before (e.g. Elasticsearch, Apache Storm, Cassandra).
- Light DevOps Tasks
-- REQUIREMENTS --
Critical skills: Python (advanced), Linux (advanced), SQL (intermediate to advanced). Must be able to learn quickly by reading appropriate documentation in order to write clean, idiomatic code.
Nice to have: Experience using IaaS like Amazon AWS or PaaS like Heroku. Experience using Docker. Exposure to big data tools like Spark or Hadoop, or familiarity with the underlying ideas like MapReduce.
Apply directly here: https://drivendata-labs.workable.com/jobs/839418