CircleUp | San Francisco | Data Engineer, Machine Learning Engineer
CircleUp harnesses the power of machine learning and predictive analytics to discover the fastest-growing companies in the consumer & retail sector. We are building a predictive data system called "Helio" to bring the data-driven revolution that has occurred in the public markets to the private markets, starting with consumer & retail.
Our mission is to help entrepreneurs thrive by connecting them with the capital & resources they need.
CircleUp has been named one of the Top 5 Most Disruptive Companies in Finance by CNBC, one of the 50 Best Fintech Innovators by KPMG, and one of America's Most Promising Companies by Forbes. We are backed by top-tier investors and have a phenomenally talented team.
We are looking for a Senior Data Engineer who can help us scale our machine learning data pipeline. We currently lean heavily on technologies like Python, Postgres, and Dask, but this role will have substantial influence over our technical architecture moving forward, so anything is on the table.
We are a distributed team, so remote candidates are welcome; you can work from home and we'll fly you out to visit sunny San Francisco once a quarter (U.S. based only please).
Data Scientist @ CircleUp (https://circleup.com) | San Francisco, CA or REMOTE | Full-Time
We're looking for a Data Scientist to join our team at CircleUp, a marketplace for private investing in consumer companies.
We want to understand the information around us to see how and why entrepreneurs and entrepreneurial enterprises succeed at a early stage.
We have interesting problems to solve with named entity recognition, rare topic modeling, rare event predictions, concept extractions, question answering systems and recommendations among others.
Using the Sunlight Congress API (https://sunlightlabs.github.io/congress/), I added an interface to search for things like:
- Legislator voting records (both Senators and Representatives)
- Top donor companies, industries, and sectors for legislators
- Bills sponsored by legislators
- Committee memberships for legislators
- Fundraising events directly benefiting legislators
- Words and phrases most frequently used by specific legislators
- Top legislative recipients and PAC recipients of specific companies and organizations
- Recipient breakdown by party for specific companies and organizations
- Lobbying firms and individuals hired by specific companies and organizations
- Bills lobbied for by specific companies and organizations
All the data is open and accessible. I built this mainly to experiment with AngularJS, Bootstrap, and the Sunlight APIs.
I made a goal to read 100 books this year. I'm through 87 so far. Most of them have been non-fiction. Using this year to learn things outside of technology has been time very well spent for me. Here are some of my top books this year.
- Currency Wars, James Rickards
- The Shock Doctrine, Naomi Klein
- What Technology Wants, Kevin Kelly
- The Art Of Happiness, Dalai Lama
- Lies My Teacher Told Me, James Loewen
- The Four Agreements, Miguel Ruiz
- Man's Search For Meaning, Viktor Frankl
- Understanding Power, Noam Chomsky
- The New Jim Crow, Michelle Alexander
- Good To Great, Jim Collins
- Abundance, Peter Diamandis
- The Mystery Of Capital, Hernando De Soto
- Pathologies Of Power, Paul Farmer
- Metaphors We Live By, George Lakoff
- Seeing Like A State, James Scott
- Ishmael, Daniel Quinn
- Surely You're Joking Mr. Feynman, Richard Feynman
The extension itself is pretty simple. I wanted to share my learning about building a Chrome extension, using the LinkedIn Javascript API, and using the AWS S3 boto library. I figured this information may be interesting to some people on HN.
One possible option for you is to do a CS graduate degree part-time while still working. Some of the top schools offer great online programs where you take the exact same classes as the students on campus (for example, University of Illinois offers this: http://cs.illinois.edu/online)
I graduated with an MS in CS from Illinois in about 3 years while continuing to work full-time. When I attended, you could apply via the normal application process. Alternatively, I know of students who were able to take and complete 2-3 classes as non-degree students before submitting their formal application to the program. They could then apply and transfer these credits towards the program -- I'm guessing it's easier to get in too once you have a few decent grades for classes in the program.
I released it in June 2010 and have made over $10k after Apple's cut. My best month was just about $1k (Oct 2011)
The download counts decreased significantly after the iOS6 / app discovery changes came out. The app is 6th when you search for 'Group Texting' -- I think not having the 'list view' search result really hurt the downloads.
These two rules seem to further support my theory of what they are doing:
* Must not contain more than 4 sequential digits (ex: 1234, 76543)
* May contain the following special characters: "%'()+,-/:;<=>?\ ^_|
CircleUp harnesses the power of machine learning and predictive analytics to discover the fastest-growing companies in the consumer & retail sector. We are building a predictive data system called "Helio" to bring the data-driven revolution that has occurred in the public markets to the private markets, starting with consumer & retail.
Here are some details:
https://medium.com/@ryancaldbeck/announcing-the-launch-of-he...
http://fortune.com/2017/02/27/circleup-moneyball/
We are looking for Data Engineers and Machine Learning Engineers who can help us scale our machine learning data pipeline.
More details on the following job postings:
Data Engineer: https://jobs.lever.co/circleup/865a1064-39fe-41a2-aef9-2015d...
Machine Learning Engineer: https://jobs.lever.co/circleup/8f4ff8d4-7240-44f8-96bb-c67a4...