Machine Learning Engineer

OverviewCompany Intro: TurbineOne is the frontline perception company. We deliver decision advantage, better situational awareness, and stronger force protection. Our customers love how we automate the right portions of the military intelligence cycle while keeping them in the loop. The company is a small, fast-moving, and high-performance startup that is backed by the best DefenseTech venture capitalists with over $50M in funding. We recently raised our Series B round and are valued at $300M. TurbineOne is actively deployed by every branch of the Department of Defense to solve their most critical missions.Job Title: Machine Learning Engineer Reporting to the Machine Learning team leadGeographically flexible for home-office Responsibilities Designing and developing machine learning systems and infrastructure for training and inference at the edgeMaintain and update the APIs between products and ML features to enable rapid iteration and adoption of new functionalityShipping production grade machine learning features to TurbineOne’s Frontline Perception SystemBuilding and integrating new data models and user interfaces for gathering user data to enable to new ML-based product solutionsCreating and maintaining reusable functional blocks for machine learning models, such as data loading, inference batching, etc.Productionizing machine learning prototypes, papers and state-of-the-art architectures to solve product problemsMaintain and improve existing TurbineOne machine learning frameworks and librariesDeveloping automation tools for building, testing, packaging and deploying machine learning components and features On a Typical Day You Would Add/update Vue3 components, GraphQL APIs and database models to gather information from the user, or display model output to the user.Extract re-usable components from multiple models and refactor the machine learning codebase to improve velocity and maintainability.Spend time reading and understanding a paper and codebase describing a state-of-the-art solution to a given product problem and integrate the solution into the Frontline Perception System for user testing. Desired Experience High standard of ethics, grit, integrity and moral character7+ years of full stack work experienceAbility and confidence to learn what’s required to add functionality to the product, from the ML stack to the front end.College degree/certifications in Computer Science or similar fieldDeep curiosity about customer problems and technical solutionsPositive and solution-oriented mindsetExperience in a production software development environment (version control, automated testing, build tools)Knowledge of deep learning algorithm development and experience with ML experimentationExperience with all or some of TensorFlow, PyTorch and Jax.Willingness to embrace the Startup Culture of moving fast, being insatiably curious, celebrating often, embracing uncertainty, and having a personal desire to improve other peoples’ lives Startup Culture Expectations We’re a small, fully remote team and everything is our responsibility.Our team thrives on autonomy, trust and solid communication.Everyone on the Team needs to be very comfortable with constant change, moving fast, sharing failures, embracing grit, and building things themselves.Must be eligible to obtain a clearance with the U.S. government #J-18808-Ljbffr

Created: 2025-09-24