We're seeking a skilled Machine Learning Engineer to build and deploy production ML systems for the next-generation data management and artificial intelligence platform for maritime domain awareness.
Spear AI is a growing defense contracting company dedicated to delivering cutting-edge solutions that support our nation's security. As we expand, we're building a culture where innovation meets mission-critical work. We operate with a flat organizational structure that empowers every team member to make an impact, collaborate directly with leadership, and contribute to projects that matter. Whether you're joining our Hardware, Software, or Services division, you'll work alongside talented professionals who are committed to excellence and advancing the capabilities that keep our nation safe and secure.
Spear AI builds sonobuoy sensors that are deployed into the water and collect edge data. We also work with the U.S. Navy to collect and process their SONAR data. You'll have an opportunity to work on real-world projects that directly impact warfighter capabilities and mission success.
We're a small team wearing many hats, and you'd have a wide variety of responsibilities that include:Design, train, and optimize machine learning models using PyTorchDeploy models to production environments in the cloud and at the edgeBuild and maintain ML pipelines for training, evaluation, and inferenceIntegrate machine learning models into real-time and batch processing systemsOptimize model performance for accuracy, latency, and resource constraintsImplement model monitoring, versioning, and deployment strategiesWork with signal processing data and time-series analysisImprove local development and CI/CD for ML workflows using modern tooling and GitHub Actions
We're looking for someone with strong Machine Learning Engineering skills who shares our most important values:You're fanatical about polish. Every detail matters. You love to make sure your code is linted, formatted, fully typed, and has comprehensive test coverage.You care about correctness. You take pride in the fact that your models perform reliably and downstream consumers trust your predictions.You obsess over performance. You daydream about model latency, throughput, and efficient inference pipelines.You dive deep. It's important for you to really know how things work. You're always building prototypes and setting up experiments to reinforce your understanding.You live on the bleeding edge. You've got a long list of upcoming ML techniques and frameworks you're excited about and can't wait to experiment with new approaches.You're a great teacher. You know how to break down complex ML concepts for a specific audience and make it click with them in a way that gets them excited.
We ship — We don't work on 18-month projects that are irrelevant before they're even finished.Our work has impact — We build products that are deployed to U.S. submarines and integrate with the sonobuoys we manufacture.We're growing responsibly — We have the resources to hire a lot more people, but we don't want to build a massive team of people who don't share our values.We're remote — Work from wherever you want. We collaborate in real time on Slack or asynchronously via GitHub.We're profitable — We aren't burning through cash trying to make the business work. But we also have investors who believe in us and are committed to our success.We care about doing great work — You don't need permission to sweat the details here.We don't take ourselves too seriously — We're building products that make the world safer. But we don't let that get to our heads.
Several years of experience with Python and machine learning frameworksExpertise in PyTorch for building and training neural networksExperience training and serving models in cloud environments (AWS, Azure, GCP)Proficiency with MLOps practices including experiment tracking, model versioning, and deploymentExperience with model optimization for production performance and scaleKnowledge of Docker and Kubernetes for containerized deploymentsFamiliarity with REST APIs and model serving frameworksUnderstanding of CI/CD pipelines for ML systemsStrong fundamentals in machine learning including model architecture design, training strategies, and evaluation
Experience with reinforcement learning algorithms and applicationsDigital signal processing experienceBackground in time-series analysis or sensor data processingExperience with edge deployment and model optimization for resource-constrained environmentsFamiliarity with distributed training across multiple GPUs/nodesExperience with model compression techniques (quantization, pruning, distillation)Contributions to open-source ML projects or research publicationsExperience in defense, aerospace, or other regulated industries
Unlimited PTO — Take the time you need to recharge and maintain work-life balance.Dedicated Sick Time — Your health and well-being come first.Comprehensive Health & Benefits — Medical, dental, and vision coverage to keep you and your family protected.11 Paid Holidays — Enjoy time off throughout the year to celebrate and spend with loved ones.Professional Development — Educational opportunities and resources to help you grow your skills and advance your career.Collaborative Environment — Work directly with leadership in our flat organizational structure, where your ideas and contributions matter.Mission-Driven Work — Contribute to projects that directly support national security and make a real-world impact.Growth Opportunities — Join us during an exciting expansion phase where you can help shape our future.
401(k) with company matchOnsite / Remote / Flexible work arrangements or hybrid options (position dependent)Relocation assistance (position dependent)Referral bonusesPerformance bonusesLife insurance and disability coverageTechnology home office setup stipendProfessional certification reimbursement (position dependent)
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