Senior Full Stack Engineer, Machine Learning

Vannevar Labs builds next generation defense software for the public servants keeping our country safe. As a team, we exist because we believe in public service, and we think that our democracy and government improve only if we put serious, collective effort into improving them, including the technology our government uses. This mission has become urgent. Ukraine is engaged in a war for survival with Russia. China regularly flies nuclear-capable bombers into Taiwan and Japan’s airspace. The US and our allies are fighting a war of deterrence with woefully outdated technology. We build software to support these missions, including providing battlefield information to allies, identifying malign activity, and helping the US deter and deescalate conflict. We are a profitable growth startup with some of the best defense investors in the world, including General Catalyst, DFJ Growth, Point72, and enterprise tech investors Costanoa and Felicis. 

Senior Full Stack Engineer, Machine Learning

We are looking for a Senior Full Stack Engineer, Machine Learning to help identify build new machine learning services and products within our multi-terabyte data lake. You’ll be part of a cross-functional team that includes deep learning experts, software engineers, and officers from all branches of the military. We also do something common in Silicon Valley tech companies but radical in the defense space: we develop and test products side-by-side with our users, including on US military bases and remote locations abroad. Our engineering culture is about empathizing with users and building software products that deliver maximum mission impact. 

As a senior engineer, you are expected to take ownership and do whatever it takes to deliver game changing capabilities. You will drive key technical decisions and establish best practices for software engineering within your team. You’ll have a chance to build applications that leverage state of the art tools in Machine Learning and AI, to solve for mission-critical workflows. 

What You’ll Do

• Work on our LLM service and build usable interfaces and APIs for other engineers and end users
• Architect efficient and reusable front-end systems that drive complex web applications in environments with performance and resource constraints.
• Collaborate with Designers, Product Managers, Mission, and Software Engineers to integrate machine learning services with our user-facing products
• Become an expert and point of contact for all things prompt-engineering
• Build out demo products to pitch end customers on new machine learning approaches

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