Overview Machine Learning Engineer at TurbineOne. TurbineOne is the frontline perception company delivering decision advantage and better situational awareness. The company is a small, fast-moving startup backed by DefenseTech venture capitalists with over $50M in funding; Series B raised, valued at $300M. TurbineOne is actively deployed by every branch of the Department of Defense to solve critical missions. Location: San Francisco, CA Job Title Machine Learning Engineer Primary Responsibilities Designing and developing machine learning systems and infrastructure for training and inference at the edge Maintain and update the APIs between products and ML features to enable rapid iteration and adoption of new functionality Shipping production-grade machine learning features to TurbineOne's Frontline Perception System Building and integrating new data models and user interfaces for gathering user data to enable new ML-based product solutions Creating and maintaining reusable functional blocks for machine learning models, such as data loading and inference batching Productionizing machine learning prototypes, papers and state-of-the-art architectures to solve product problems Maintain and improve existing TurbineOne machine learning frameworks and libraries Developing 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 reusable components from multiple models and refactor the machine learning codebase to improve velocity and maintainability Read and understand a paper and codebase describing a state-of-the-art solution and integrate the solution into the Frontline Perception System for user testing Desired Experience High standard of ethics, grit, integrity and moral character 7+ years of full stack work experience Ability 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 field Deep curiosity about customer problems and technical solutions Positive and solution-oriented mindset Experience in a production software development environment (version control, automated testing, build tools) Knowledge of deep learning algorithm development and experience with ML experimentation Experience 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 others\' 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 comfortable with constant change, moving fast, sharing failures, embracing grit, and building things themselves Eligibility Must be eligible to obtain a clearance with the U.S. government Job Details Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Defense & Space Note: Referrals increase your chances of interviewing at TurbineOne by 2x

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