Lilt | Berlin, Germany | Multiple Roles | Full time | ONSITE
Lilt builds software that is revolutionizing the translation industry. Our product helps human-translators become much faster by using Machine Translation that is intelligently integrated into the translation workflow at every step. We make translators at least 3x more efficient in their jobs and they love working with our product:
“I was recently obliged to start using [competitor’s software], and I can’t tell you how infinitely superior the Lilt experience is! Viva Lilt!” - translator using Lilt.
At the Globalization and Localization Association (GALA) conference in Munich last week, a live demonstration of our product received the highest audience satisfaction out of 17 competing presentations.
Your job will be to take the great product experience to even greater heights! We’re one of the success stories for artificial intelligence making people’s daily lives much better, both in terms of the translators using our system and our customers who get translated content much faster and with higher accuracy. As a translation company, we work with a large diversity of languages and cultures.
The product itself is based on machine learning and human-computer interaction research at Stanford and UC Berkeley and the company is backed by top-tier investors including Sequoia, Redpoint, Zetta, and XSeed Capital. Lilt is headquartered in San Francisco’s Design District with a second office in Berlin near Checkpoint Charlie. Both locations are growing rapidly.
We're looking to hire senior software engineers for infrastructure, research, and devops in our Berlin engineering & research team of 8. We’re also hiring a customer success engineer.
We've interviewed and hired many great engineers over HN. Apply below and give us some mention of Hacker News in your application!
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
Kalepa | Software 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
Afresh | San Francisco, CA | Full-time | Onsite
Afresh is a Series A startup focused on automating the food supply chain using AI with the ultimate goal of eliminating food waste. In the US, about 40% of all food waste occurs in supermarkets and downstream, largely due to inefficient manual ordering processes. This waste leads to >$80B in economic losses as well as 1.5 billion tons of greenhouse gas emissions, which is comparable to the emissions of Japan.
Afresh is commercializing a technology developed as part of a Stanford research project that automates the pen-and-paper processes used by supermarket operators. This technology cuts retail food waste by >50% and dramatically increases the stores' profit margins.
We are founded by a team of Computer Science PhDs, MBAs, designers, and engineers from Stanford, Berkeley, CMU. We're backed by former Google CEO Eric Schmidt's firm (Innovation Endeavors) and the first investors in Instagram, Stitchfix, SoFi, and Heroku (Steve Anderson of Baseline Ventures).
We're growing fast: we're in a partnership with 4 large regional grocers representing 500+ stores and >$10B in revenue. We're also looking for smart, enthusiastic, dependable people interested in applying cutting-edge technology to problems with significant societal impact.
Our open roles are: * Machine Learning Engineer * Backend Engineer * Site Reliability / DevOps * Mobile Developer * Full-Stack Web Developer Full job descriptions available at: https://jobs.lever.co/afreshtechnologies?
Feel free to reach out directly to volodymyr@afreshtechnologies.com (I'm the CTO)
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 making complicated engineering problems understandable to users.
We are a spinoff of the University of Wisconsin, Madison, and much of our technical hurdles are in turning novel research into production code. To that end, we're looking to hire for the following roles:
- Research Scientist/Engineer
- C++ Engineer
Full careers page here: https://www.intact-solutions.com/careers/
Feel free to reach out for more info: ataber@intact-solutions.com
Rigetti Computing | Software, Data, IT, Fab, Physics, other | Full time | On-site | Berkeley & Fremont CA | Visa Sponsorship | https://www.rigetti.com/
Rigetti Computing is building the world's most powerful computers to help solve humanity's most pressing problems. Our quantum computers are publicly available on our platform, Quantum Cloud Services, today and free for academic use. We're looking for software engineers, data engineers, physicists and others to help design, test and build our next generation of quantum computers. Our software stack includes Python, Common Lisp, Julia and Typescript, and we rely on Docker, CI/CD, and cloud deployment.
A few of our open roles:
- Director of Infrastructure, Quantum Cloud: Lead our infrastructure organization and enable the success of Quantum Cloud Services.
- Software Engineering Manager, Quantum Software: Lead our software team that builds out our internal-facing tools.
- Software Engineer, Qubit Manufacturing (Fremont): Support our fabrication facility with analysis, automate custom tools.
- Software Engineer, Qubit Design & Test: Work with our qubit design and theory teams to build automated simulation and analysis pipelines.
- Software Engineer, Data Infrastructure: Build out our internal data infrastructure and collaborate with our full-stack quantum engineers and deployment teams to support Quantum Cloud Services.
- Senior Full-stack Software Engineer: Help build and optimize Quantum Cloud Services.
- Director of Site Reliability Engineering, Infrastructure Engineer, Site Reliability Engineer.
- Quantum IC Design Engineer: Develop simulation and CAD tools for building quantum circuits.
- Senior Software Engineer: Improve the performance of our qubit control software and compiler stack.
- Infrastructure Engineer: Build out our internal compute infrastructure and support Quantum Cloud Services.
- Software Engineer, Quantum Applications & SDK: Develop and maintain open source tools and libraries for quantum programming focusing on near-term applications and algorithms, in areas such as chemistry, physics, optimization and machine learning.
- Computational Scientist (multiple positions): Enable simulation-driven device design via a Julia-based computational physics stack.
If you're interested in these or any of our open positions, please apply online to the most appropriate position and also email alex.mellnik@rigetti.com, mentioning this post.
Thanks!
Voleon Group | Software 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.
Software Engineer: https://jobs.lever.co/voleon/7af8f796-e956-4438-8607-ebc63b9....