Senior MLOps Engineer | Vannevar Labs | Remote (United States)
Posted 2025-09-08
Remote, USA
Full Time
Immediate Start
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3">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.</p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3">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 The US and our allies are fighting a war of deterrence with woefully outdated technology.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.</p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3">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.</p>
<hr>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">Senior MLOps Engineer</strong></p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3">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.</p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3">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.</p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">What You’ll Do</strong></p>
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Write data pipeline workflows for building features and training models</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Build robust and scalable machine learning infrastructure for performing model inference in batch and real-time</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Optimize LLM deployment and inference</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Design and build software to support ML model iteration and production deployment such as model repositories and model monitoring software</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Work with development teams and product managers to ideate user experience, product and software solutions</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Design server-side architecture and data model changes to support data products that integrate machine learning</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Develop and manage well-functioning databases and applications</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Write effective APIs</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Write technical documentation</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Collaborate with analysts to improve software</span></li>
</ul>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">Qualifications</strong></p>
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience engineering data heavy applications/building large data pipelines from scratch</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience on an engineering team supporting MLOps software, or similar</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">4+ years as a MLOps, Backend Engineer or similar role</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience with Python</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Familiarity with relational databases</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Excellent communication and teamwork skills</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Ability to learn new technologies quickly and work around the stack</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">You must be a US resident or citizen.</span></li>
</ul>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">Nice To Haves</strong></p>
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience with AWS or similar</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience with OpenSearch or Elasticsearch</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience with Docker</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience with Kubernetes</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience with Vector databases</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience with Ray</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience with Temporal</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience with LLMs deployment, inference, or prompt engineering</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience with one or more deep learning frameworks such as PyTorch or Tensorflow</span></li>
</ul>
<h3 class=" text-white font-semibold text-lg mb-2"><strong class=" font-semibold">Benefits:</strong></h3>
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Health, dental, and vision insurance</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">100% remote – work from anywhere in the US</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">401k matching</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Mental benefits</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Flexible work environment – you manage your workday</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Pet and child care reimbursement during travel</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Unlimited PTO<br />
<strong class=" font-semibold">Compensation</strong><br />
<!-- -->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.</span></li>
</ul>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3">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.</p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3">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!</p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">IMPORTANT NOTICE</strong><br />
<strong class=" font-semibold">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.</strong></p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3">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.</p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3">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.</p>
<hr>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">Senior MLOps Engineer</strong></p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3">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.</p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3">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.</p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">What You’ll Do</strong></p>
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Write data pipeline workflows for building features and training models</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Build robust and scalable machine learning infrastructure for performing model inference in batch and real-time</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Optimize LLM deployment and inference</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Design and build software to support ML model iteration and production deployment such as model repositories and model monitoring software</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Work with development teams and product managers to ideate user experience, product and software solutions</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Design server-side architecture and data model changes to support data products that integrate machine learning</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Develop and manage well-functioning databases and applications</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Write effective APIs</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Write technical documentation</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Collaborate with analysts to improve software</span></li>
</ul>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">Qualifications</strong></p>
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience engineering data heavy applications/building large data pipelines from scratch</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience on an engineering team supporting MLOps software, or similar</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">4+ years as a MLOps, Backend Engineer or similar role</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience with Python</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Familiarity with relational databases</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Excellent communication and teamwork skills</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Ability to learn new technologies quickly and work around the stack</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">You must be a US resident or citizen.</span></li>
</ul>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">Nice To Haves</strong></p>
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience with AWS or similar</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience with OpenSearch or Elasticsearch</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience with Docker</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience with Kubernetes</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience with Vector databases</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience with Ray</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience with Temporal</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience with LLMs deployment, inference, or prompt engineering</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience with one or more deep learning frameworks such as PyTorch or Tensorflow</span></li>
</ul>
<h3 class=" text-white font-semibold text-lg mb-2"><strong class=" font-semibold">Benefits:</strong></h3>
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Health, dental, and vision insurance</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">100% remote – work from anywhere in the US</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">401k matching</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Mental benefits</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Flexible work environment – you manage your workday</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Pet and child care reimbursement during travel</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Unlimited PTO<br />
<strong class=" font-semibold">Compensation</strong><br />
<!-- -->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.</span></li>
</ul>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3">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.</p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3">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!</p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">IMPORTANT NOTICE</strong><br />
<strong class=" font-semibold">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.</strong></p>