Kalepa | Backend / Data Engineers | Full-Stack Software Engineers | Machine Learning 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 and designers at Kalepa are 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's team members have worked at Facebook, Google, Microsoft, ClassPass, APT (acquired by Mastercard for $600M in 2015), Wonder, the Israel Defense Forces, MIT, Berkeley, and UPenn. We are backed by IA Ventures.
More details here: Backend: https://angel.co/company/kalepa/jobs/460333-software-enginee.... Full Stack: https://angel.co/company/kalepa/jobs/658130-full-stack-softw.... Machine Learning: https://angel.co/company/kalepa/jobs/566836-data-scientist-m....
Covariant (https://covariant.ai/) | Software Engineer, Infrastructure Engineer, Site Reliability Engineer | Berkeley, CA (San Francisco Bay Area) | full-time | onsite | visa
At Covariant, innovation is at the core of our company. Drawing on recent advances in deep imitation learning and deep reinforcement learning, Covariant is developing AI software that makes it easy for robots to learn new, complex skills -- bringing the next generation of robotic automation to the world’s factories, warehouses and, one day, even homes.
Covariant employees come from varying technical backgrounds and interests, and together we’re building a team that is friendly, helpful, and down-to-earth. We value continuous learning (both human and robotic), empathy for each other and our customers, and taking on the impossible. And, while our industry struggles to be representative, we're actively working to build a diverse and inclusive culture at covariant.
We’re always hiring for a variety of roles, but our current priorities are:
- Software Engineer: http://bit.ly/33JiOZ6
- Sr. Software Engineer: http://bit.ly/2nwAcBi
- Infrastructure Engineer: http://bit.ly/2oiLA3K
- Site Reliability Engineer: http://bit.ly/2nnKfZH
- Field Engineer: http://bit.ly/33MSVbb
Experience in AI/ML/robotics is not required!
Rigetti Quantum Computing | Multiple Software Engineering Positions | Berkeley, CA | Onsite https://www.rigetti.com/
“Nature isn't classical, dammit, and if you want to make a simulation of nature, you'd better make it quantum mechanical, and by golly it's a wonderful problem, because it doesn't look so easy.” - Richard Feynman
We are a full stack quantum computing company with a mission to build world's most powerful computers. Our team, Quantum Software Engineering, is responsible for building internal software tools to help design, fabricate, test and deploy Quantum ICs. We are currently looking for:
- Full Stack Software Engineer
- Senior Software Architect
Please visit https://www.rigetti.com/careers or send me a note with your resume at - firstname.lastname@example.org. For any questions, please feel free to reach out to me.
LeanTaaS | Software Engineer, Data Scientist, DevOps Engineer, QA Engineer, Product Manager, Product Designer, Data Analyst | Charlotte, NC or Santa Clara, CA or Ottawa, ON | Onsite | Fulltime
We're hiring backend Python and Java developers, frontend Angular developers, QA engineers, data scientists, data engineers, product managers, engineering managers and more. Job openings can be filled in Santa Clara, Charlotte or Ottawa.
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 email@example.com 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. There's also Python/Flask products. 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.
Voleon Group | Senior 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 to it's investors.
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.