We build natural language processing and computer vision products for the US .
We are a team uniquely qualified to succeed in the $716B defense market. Our team and advisors are a like-minded group of technologists and former defense and intelligence officers with experience from Google, CIA, In-Q-Tel, DoD/JSOC, Harvard, Stanford, and MIT
We are mission driven and work on hard problems that matter
We are funded by top-tier investors like General Catalyst
You will be the fourth member of the engineering team. The team collaborates on weekly objectives and divides work into interface and ai, Vannevar's key areas of innovation, but the whole team shares progress and ideas often. The first people on the team will have a disproportionate impact on the success and direction of the company, and will play a role in setting the structure and processes the engineering team will follow. Vannevar currently uses Slack, Github, CirceCI and JIRA/Confluence,.
You will be applying the latest advances in deep learning to solve important and difficult CV and NLP problems.
You will be responsible for working with the team and our national security customers to build, deploy, and support our first product. This will involve translating our customers' goals into ML objectives, reading papers and prototyping neural net architectures to meet them, and building robust systems to serve these models.
You will also be working on national security problems with some of the most unique and interesting ML datasets in the world. For some problem sets, dealing with compute constraints and high volumes of data will be important. For others, training deep learning models with limited training data will be important.
Example project: OCR and NLP for counter terrorism
We value fixers that go out of their way to raise the performance of the team. We are a team of life-long learners that believes being humble in what we know is necessary for us to succeed. We believe that the team should be rewarded and promoted based on merit.
Self-managed / unlimited
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