Senior Software Engineer, Machine Learning

Vannevarlabs-2 in Remote

Vannevar Labs brings innovative, robust, and scalable software design to the public servants working in defense and national security 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.

Our flagship product is Decrypt, a software platform for collecting and processing foreign language text data with a UI for enabling users to quickly interpret the data. Decrypt is driving some of our most important military and foreign policy decisions by enabling our government partners to understand and respond to foreign actors in ways previously not possible.

We are a growth startup with investment from Felicis Ventures, DFJ Growth, Aloft VC, General Catalyst, Point72, Costanoa Ventures, and Shield Capital.

We seek a senior software engineer to help identify and build new machine learning 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 military branches.  We also do something familiar in Silicon Valley tech companies but radical in defense: we develop and test products side-by-side with our users, including on US military bases and remote locations abroad. Our engineering culture emphasizes empathizing with users and building software products that deliver maximum mission impact.

As a founding member of the team, your decisions today will significantly impact the company today and into the future. Simple systems are easier to understand, maintain, and scale - we prefer pragmatic product-centric solutions. You are innovative: willing to take risks, think critically about novel solutions, and advocate for your ideas while seeking feedback and collaboration. You will be making trade-offs as you work to ensure that our systems are prepared to scale — effectively communicating these trade-offs with your teammates is a must.
Vannevar Labs is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

We encourage candidates from all backgrounds to apply, even if you don’t feel like you're a perfect fit. If you’re passionate about contributing to our mission, we’d love to hear from you!

What We Offer:
401k Match
Equity
Health, dental, and vision insurance
Open PTO
Flexible work environment - you manage your workday
100% remote - work from anywhere in the US
Mental health benefits
Pet care reimbursement during travel

Vannevar Labs is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

We encourage candidates from all backgrounds to apply, even if you don't feel like you're a perfect fit. If you're passionate about contributing to our mission, we'd love to hear from you!
    • Integrate machine learning APIs into Vannevar Labs by coding end-to-end solutions within multiple software products
    • Write data pipeline workflows for processing building features and training models
    • Work with development teams and product managers to ideate user experience, product and software solutions
    • Design server-side architecture and data model changes to support data products that integrate machine learning
    • Develop and manage well-functioning databases and applications
    • Write effective APIs
    • Test software to ensure responsiveness and efficiency
    • Write technical documentation
    • Collaborate with intel analysts and other engineers to improve software
    • Experience engineering data-heavy applications
    • Experience on an engineering team supporting machine learning-enabled software or similar
    • 4+ years as a Backend Engineer or Full Stack engineer
    • Experience with Python and Javascript
    • Familiarity with relational databases
    • Excellent communication and teamwork skills
    • Ability to learn new technologies quickly and work around the stack
    • Experience with AWS or similar
    • Experience with OpenSearch or ElasticSearch
    • Experience with Docker
    • Experience with a graph database such as Neo4J
    • Experience with web frameworks and platforms such as React, Node, Redux, Apollo, or similar
    • Experience with one or more deep learning frameworks such as PyTorch or Tensorflow
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