Audatic | Berlin, Germany (ONSITE) | Full-time | Visa | Deep Learning, Performance, Mobile and Software 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: Python, Tensorflow, C & C++ (Performance Engineer), iOS (CoreML) and Android (Mobile Engineer) We are looking for smart and curious people who are thinking in code and want to make a difference. Apply now at http://audatic.ai/apply-now/
DevelopIntelligence | DevOps + Front End Technical Trainer | Colorado | Remote We give hands-on training courses (generally 3-4 days each) to software developer teams (generally mid-level and senior devs) at companies like Intuit, Starbucks, and Salesforce. The courses are generally 40% lecture, 40% labs/coding, and 20% Q&A.
Because we've been growing, we need to find more developers/trainers to come teach for us.
Current needs: - Front-End: (React / Redux / Relay or Apollo (GraphQL) / Jest (Testing) / Node) - Azure: On the Developer Side - DevOps - Kubernetes / Docker - Ansible - Terraform - Jenkins - Jira - Machine Learning instructors - TensorFlow & Deep Learning - Python based Data Science / Machine Learning - C# / C# with TDD - AWS: On the Developer Side - GoLang
Email if interested: kyle@developintelligence.com
Wharton Research Data Services (University of Pennsylvania) | Data Scientist | Philadelphia, PA | ONSITE | VISA
We are looking for a full-time Data Scientist to join us at Wharton Research Data Services (WRDS), a Wharton department that provides business intelligence, data analytics, and research support to academic institutions around the world.
## Technical Details
· Programming languages: Python! You will make use of the `pandas` module extensively in daily work. Knowing how to parallelize your computation is a bonus (we work on a 40-core server). It would help to explain your work to your fellow colleagues if you know SAS, but it is not a required skill.
· Machine learning: "Shallow" learning techniques (such as SVM classifiers with `scikit-learn`) would help a lot, while neural network packages (such as Tensorflow/Keras) would be an overkill.
· Environment: All our R&Ds are performed on a Linux server. You need to be comfortable with terminal access, Linux commands, SSH tunneling, and package management with `conda`. Our filesystem is NFS, so knowledge of optimizing IO for cache utilization would be great.
· Delivery: You need to be good at clearly summarizing your work by writing reports and documentations. By "clear", we mean "easily understandable by financial analysts who have little CS background". In terms of format, Word is good, but LaTeX or Markdown would be a delight. You will also need to pack your derived datasets and/or codes in a portable way, so that our data team can add them to our client-facing database. You can choose your own version control solution.
· Computational resources available: We have Jupyter Lab deployed on our internal R&D server, as well as a huge SAS cluster shared with our clients. Most of our numerical data are on PostgreSQL. Feel free to set up our own MongoDB, etc., if needed.
## Preferred Background Knowledge in Finance
We are in the School of Finance, after all. While not required, these background and experience will be preferred:
· experience with business/financial/accounting analytics based on large datasets,
· knowledge in finance,
· good at foosball,
· experience working with SEC data (including textual filings and numerical data), and
· experience with financial databases (e.g. CUSIP, CRSP, and Compustat).
## Apply
If you are interested, please apply through Penn Human Resources at https://upenn.dejobs.org/philadelphia-pa/business-systems-an... .
Juji Inc. (https://juji.io) | Front-end Software Engineer | San Jose, CA | Onsite
Juji develops a state of art AI chatbot creation platform. We work with companies such as Google, Robinhood, Barnes and Noble, and universities such as UIUC, Arburn, and Air Force Academy. See https://venturebeat.com/2018/10/18/juji-is-an-empathetic-ai-... for a general description.
We are a Clojure shop. The backend is in Clojure and the frontend is in Clojurescript, with Re-frame and Rum on top of ReactJS. We also leverage python for machine learning and tensorflow for deep learning. Watch https://youtu.be/phA4bMjKvCY for our recent talk in the main Clojure conference.
For details of the position, see https://juji.io/careers#frontend
Ninety Percent of Everything | Data Scientist | London & Kiev | ONSITE | http://90poe.io/careers/
Come join the 90POE team as we revolutionise one of the oldest industries in the world — the maritime and shipping industry! We’re a London-based startup bringing cloud computing and data-driven technology to ocean transport. Contrary to popular belief it is not aeroplanes but huge sea-faring vessels which are responsible for transporting more than 90% of all products across the globe each and every day. It is our vision to make the next generation of apps which enable this to happen with the click a button. Our office is in the heart of London, next to both Hyde Park and Oxford Street.
Tech: Python, pandas, sklearn, tensorflow, flask, SQL, git, http, influx, elasticsearch. Theory: mathematics (statistics, probability), physics (mostly mechanics).
We welcome applications from junior candidates. Please send your resume to careers@90poe.io. No recruiters please.
Recursion Pharmaceuticals | SLC, Utah | Onsite, full-time | We have raised over $80M to apply machine learning to one of the most unique datasets in existence - tens of millions of images of cells under a huge number of biological and chemical perturbations, generated in our own labs - in order to find treatments for hundreds of diseases. Our long term mission is to decode biology to radically improve lives - we want to understand biology so well that we can fix most things that go wrong in our bodies. Among other awesome folks, Yoshua Bengio is one of our advisors, and helps our ML team come up with novel ways of tackling these problems.
We’re looking for: * ML researchers: Looking for a highly experienced senior/principal-level machine learning researcher who wants a challenging problem, lots of rich data, and knowledge that their breakthroughs will seriously help people. No bio background needed.
* Biologists, computational biologists, computational chemists, automation scientists, and drug discovery experts. http://www.recursionpharma.com/careers for more details and to apply.
Logistics: Salt Lake City, Utah. Hiking/running/biking is literally out our back door, and it's half an hour to 6 ski resorts. Great pay, health insurance, 401k, relocation assistance (onsite is required), equity, a top-caliber team, and help make a massively positive impact. Happy to sponsor/extend visas, but you need to already be authorized to work in the US--we can’t handle the lottery at this stage.
Tech: Data science: pydata stack (pandas, numpy, scikit-learn, matplotlib, bokeh, tensorflow w/keras, etc), a cluster of GPUs for all your research ideas
Software engineering: python, clojure[script], javascript, go, react.js, kafka, kubernetes (GKE), GCE, AWS Our team of 110 so far: http://www.recursionpharma.com/team