Audatic | Berlin, Germany (ONSITE) | Full-time | Visa | SysAdmin & Deep Learning Engineer | http://audatic.ai Audatic is building systems to intelligently modify sound using state of the art deep learning technology and unique datasets. Our personalized sound environment allows users to customize sounds to their individual taste. Applications include effortless interactions in noisy places (especially for people with hearing impairments), and realistic audio-environments for augmented reality. We are a young, driven and dynamic team with the vision to change people’s lives. We value each team member and opinion equally and count on everyone’s contribution to make our vision come true. You are encouraged to constructively challenge our ideas and can expect to be involved in the decisions that shape the future of our company. Tech: Linux, Python with Tensorflow, Android & iOS and some AWS. We are looking for smart and curious people who either like to manage our in-house cluster and infrastructure (SysAdmin) or build novel network architectures (Deep Learning Engineer). Apply now at http://audatic.ai/apply-now/
NIST | Postdoc in AI/Quantum Materials| Gaithersburg, Maryland, USA| ONSITE I am advertising two postdoctoral opportunities available through the National Research Council (NRC) program at the NIST Center for Neutron Research (NCNR). The program is described at https://www.nist.gov/iaao/academic-affairs-office/nist-nrc-p.... The neutron scattering group at the NCNR is strongly collaborative and the successful candidate will have a great deal of independence and intellectual freedom as well as a generous stipend ($72,000). Online applications for the NRC are open December 1st and end February 1st. US Citizenship required. Interested applicants should contact william.ratcliff@nist.gov. There are two projects that are of primary interest:
1) Applications of machine learning to neutron scattering with an emphasis on experimental optimization and reinforcement learning. You can think of this as modern experimental design. Where do we measure to obtain the most information? Other applications could include Bayesian model selection approaches to diffraction and inelastic data. For example, can we automatically detect the space group from powder diffraction data? Where do we measure to distinguish between two magnetic Hamiltonians? The ideal applicant would have a background in science and interest/experience with ML/AI. For example, suppose you are in condensed matter (experiment or theory) and are thinking of getting into ML. I’m also open to those with more of a CS/ML background who want to apply their skills to a problem in physics. http://nrc58.nas.edu/RAPLab10/Opportunity/Opportunity.aspx?L...
Minimum Skills Programming skills: Experience with using Python, IDL, or Matlab to plot/analyze data Either: Experience with science at a PhD level or experience with ML/AI
Ideal Skills Programming skills: Experience with tensorflow, pytorch, scikit-learn Science: Expertise in a neutron scattering technique used to study hard condensed matter systems. This could be time-of-flight, triple-axis-spectometry, or magnetic diffraction applied. Expertise with synchrotron x-ray diffraction techniques would be just as welcome.
2) Study of Quantum Materials, Topological Insulators, Skyrmions, Spin Liquids, or Multiferroics using neutron scattering as a probe. Recently, we have collaborated with a number of groups to study materials ranging from magnetic topological insulators to multiferroic skyrmions. In addition to performing neutron scattering opportunities, the successful applicant will have the opportunity to grow high quality thin films or single crystals via existing collaborations in the area.. http://nrc58.nas.edu/RAPLab10/Opportunity/Opportunity.aspx?L...
http://nrc58.nas.edu/RAPLab10/Opportunity/Opportunity.aspx?L...
Minimum Skills Programming skills: Experience with using Python, IDL, or Matlab to plot/analyze data Scientific experience: Experience with hard condensed matter physics. Even if you have not done neutron scattering before it’s fine as long as you have a good knowledge of hard condensed matter (for example, you might have done some synthesis/growth and susceptibility measurements).
Ideal Skills Scientific experience: Expertise in a neutron scattering technique used to study hard condensed matter systems. This could be time-of-flight, triple-axis-spectometry, or magnetic diffraction applied. Expertise with synchrotron x-ray diffraction techniques would be just as welcome.
SenSat | London, UK | FULL-TIME | https://www.sensat.co.uk/
SenSat builds digital simulations of the real world to solve complex problems. Our simulated reality platform, Mapp® allows companies operating in physical domains to visually interact with and understand their data. https://techcrunch.com/2019/10/01/tencent-leads-10m-a-fundin...
I've recently joined as a front-end developer, and it's been great so far! Working on interesting problems, visualising and working with large datasets. The team/company is super friendly.
Currently available roles can be found here. https://www.sensat.co.uk/careers
Really interested in Front-end Developers mid/senior
Our Stack: - Nodejs - Python - Typescript - Angular - Three.js - OpenLayers - Tensorflow - MongoDB
If you have any questions, feel free to ask me directly (<george.madges@sensat.co.uk>)
Mercari, Inc. | Tokyo, Japan | Onsite | Full-time | Relocation Provided
Mercari is Japan's largest C2C marketplace and the first tech unicorn. We are hiring senior/lead software engineers for different engineering teams.
SE, Backend (Go, Microservices, Kubernetes, GCP): http://bit.ly/34Lo141
SE, Frontend (Reactjs, Typescript, Nextjs, Redux): http://bit.ly/382aYgM
SE, ML (Python, Kubernetes, Tensorflow): http://bit.ly/2ReKouE
Other positions: http://bit.ly/35XwIIJ
Benefits: http://bit.ly/37Ta9qm
PicnicHealth (YC S14) | San Francisco, CA | Full-Time, Onsite | https://picnichealth.com
PicnicHealth works with patients to collect, digitize, and manage their medical records, empowering them to monitor and control their care via a personal health timeline. Through partnerships with biotech, genomics, and pharma companies, we also aggregate and organize data from big groups of volunteers, which helps power some of today’s most cutting-edge medical research.
To learn more about who we are, our engineering culture, and whether this is the right place for you, read our Key Values profile: https://www.keyvalues.com/picnichealth
You can see all of our open roles here: https://grnh.se/3b566ba92
* Engineering Manager: https://team.picnichealth.com/careerdetails?gh_jid=437728600...
* Front-End Engineer: https://team.picnichealth.com/careerdetails?gh_jid=429755900...
* Full-Stack Engineer: https://team.picnichealth.com/careerdetails?gh_jid=429692900...
* Machine Learning Engineer: https://team.picnichealth.com/careerdetails?gh_jid=429760100...
* DevOps Engineer: https://team.picnichealth.com/careerdetails?gh_jid=429762800...
* Product Designer: https://team.picnichealth.com/careerdetails?gh_jid=429763300...
* Product Manager, Patient Product: https://team.picnichealth.com/careerdetails?gh_jid=437728800...
Tech Stack: Our main web service is in Node.js, and most other services are in Python (mostly machine learning services, using Keras, Tensorflow, etc). Our frontend is React + Redux, database is PostgreSQL, and services run in a Kubernetes cluster hosted on Google Cloud Platform (Google Kubernetes Engine).