Machine Learning Engineer, Scene Understanding

Who We Are Sauron protects your family and home, bringing the innovations of autonomous robots and self-driving cars to residential security. Our team is led by veteran entrepreneurs and roboticists, alumni of Zipline, Tesla, Apple, and Google. Sauron has raised an $22M seed round led by A* and Atomic with participation from other leading venture capital firms and angel investors, including 8VC and Flock Safety CEO Garret Langley. The Role | Machine Learning Engineer, Scene Understanding The ideal candidate is well-versed in state-of-the-art deep learning for 3D perception and scene understanding, including the use of large multi-modal models. You're experienced in software development and excited about building in a 0 to 1 environment. We Value - Collaboration, pair programming, and teamwork. - Making small improvements and shipping code to production continuously. - Taking ownership across the stack. - Test-driven development, and refactoring regularly to keep our codebases healthy. You Will Contribute By - Applying state-of-the-art ML research in 3D scene understanding to a home security and intelligence product. - Applying large multi-modal models to the security domain and adapting them for real-time performance. - Developing new ML models and algorithms that advance the state of the art. - Leading the development cycle to turn prototypes into production-grade ML solutions, including data sourcing and annotation, training, evaluation, and deployment. - Developing high-quality codebases and data pipelines to deploy new ML solutions at scale in a collaborative and test-driven approach. - Interacting with a small, multidisciplinary team of ML engineers, software engineers, hardware engineers. Your Background Includes - Master's degree in Computer Science, Engineering, Mathematics, or a related field OR 3-5 years of related work experience. - Academic and/or research experience in 3D scene understanding, including semantic segmentation, depth estimation, point cloud processing, perception, mapping, and/or 3D reconstruction. - Familiarity with cutting-edge large multi-modal models and sufficient depth to advance the state of the art in service of the product. - Demonstrated ability to write efficient and reliable software in Python following best practices in software design, testing, review, and documentation. - Strong proficiency in writing domain-specific code in Python ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and data analysis libraries (e.g., NumPy, Pandas, Matplotlib). - Strong technical communication skills and the ability to collaborate effectively on complex software systems in a team setting. - A growth mindset, a willingness to take ownership of your work, and an ability to adapt to the challenges of a fast-paced startup environment.

Sauron protects your family and home, bringing the innovations of autonomous robots and self-driving cars to residential security. Our team is led by veteran entrepreneurs and roboticists, alumni of Zipline, Tesla, Apple, and Google. Sauron has raised an $22M seed round led by A* and Atomic with participation from other leading venture capital firms and angel investors, including 8VC and Flock Safety CEO Garret Langley.