Vannevar Labs

remote, silicon_valley
11 - 25 Employees
< 10 Engineers
$10M - $25M Funding
Series A

We build natural language processing and computer vision products to support the free world.

Active Roles

Why join us?

  • We are uniquely qualified to succeed in the $740B national security market. Our founders have 30 years of combined experience across national security, government sales, successful startups, and AI research at MetaMind, CIA, In-Q-Tel, MetroMile, DoD/JSOC, Harvard, Stanford, and MIT.

  • We are mission driven and work on hard problems that matter.

  • Top-tier VC firms General Catalyst, Point72, and Costanoa ventures are our investors.


Engineering at Vannevar Labs

Engineering team and processes

You will be a founding member of the engineering team. The team collaborates on weekly sprint objectives and divides work into application and data, Vannevar's key areas of innovation, but the whole team shares ideas. The next 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, Jenkins and JIRA/Confluence.

Technical Challenges

The free world significantly lags its authoritarian rivals in intelligence investment. Vannevar Labs is working with our national security customers to overcome this by building the foreign intelligence platform of the future. This involves many technical challenges like architecting for simplicity of devops with on-prem deployment; scaling to arbitrarily large collections; securing against malign nation states; and innovating rapidly in a huge, critical industry known for slow development cycles and lackluster products.

We also apply the latest advances in deep learning to solve important and difficult NLP and CV problems. Our national security problems involve some of the most unique and interesting ML datasets in the world. For some, dealing with compute constraints and high volumes of data is important. For others, training deep learning models with limited training data is important.

Projects you might work on
Tech stack
Python
AWS
Docker
TensorFlow
React
TypeScript
Git
Node.js
PyTorch
Redux
GCP
Prisma
Terraform
ElasticSearch

Working at Vannevar Labs

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.

Perks & benefits
  • Health Insurance
  • Generous Vacation

    Self-managed / unlimited

  • Relocation
  • Company Retreats
  • Flexible Hours
  • Work from Home
  • Workshops/Conferences

Interested in this company?
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