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 The US and our allies are fighting a war of deterrence with woefully outdated technology.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 MLOps Engineer
We are looking for an MLOps engineer to help identify 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 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 member of the team your decisions today will have a large impact on the company today and into the future. We believe that 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 — being able to effectively communicate these trade-offs with your teammates is a must.
What You’ll Do
- Write data pipeline workflows for building features and training models
- Build robust and scalable machine learning infrastructure for performing model inference in batch and real-time
- Optimize LLM deployment and inference
- Design and build software to support ML model iteration and production deployment such as model repositories and model monitoring software
- 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
- Write technical documentation
- Collaborate with analysts to improve software
Qualifications
- Experience engineering data heavy applications/building large data pipelines from scratch
- Experience on an engineering team supporting MLOps software, or similar
- 4+ years as a MLOps, Backend Engineer or similar role
- Experience with Python
- Familiarity with relational databases
- Excellent communication and teamwork skills
- Ability to learn new technologies quickly and work around the stack
- You must be a US resident or citizen.
Nice To Haves
- Experience with AWS or similar
- Experience with OpenSearch or Elasticsearch
- Experience with Docker
- Experience with Kubernetes
- Experience with Vector databases
- Experience with Ray
- Experience with Temporal
- Experience with LLMs deployment, inference, or prompt engineering
- Experience with one or more deep learning frameworks such as PyTorch or Tensorflow
- Health, dental, and vision insurance
- 100% remote - work from anywhere in the US
- 401k matching
- Mental benefits
- Flexible work environment - you manage your workday
- Pet and child care reimbursement during travel
- Unlimited PTO
Compensation
The salary range for this position is $150,000 - $195,000 + equity + 401K match. Within the range, individual pay is determined by experience, relevant education, and/or training.
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!
IMPORTANT NOTICE
We are committed to protecting the privacy of all applicants. Official emails from the company will come from an @vannevarlabs.com domain. Under no circumstances will a legitimate representative from our company contact you to request passwords, financial information, or other sensitive personal data. Please be vigilant of potential scams.
