Lead Machine Learning Engineer: Computer Vision
About the positionResponsibilities• Write scalable and reliable code. • Integrate existing CV models into our pipeline utilizing open source models and models from our partner companies. • Design and implement robust machine learning pipelines to process a large number of simultaneous video streams. • Improve the performance and reliability of CUDA-enabled GPU workloads on edge devices and in the cloud. • Discover, evaluate, and optimize cutting-edge computer vision models for security applications.• Write performant algorithms to integrate new models into our platform for better decision making in time-sensitive contexts. • Lead a mix of senior and junior engineers by example, establishing and maintaining best practices in ML infrastructure development. • Lead design reviews and gather input from multiple teams to ensure high-quality outcomes. • Tackle challenging interdisciplinary problems within our deep tech stack. • Deploy changes with immediate impacts on our product, worldwide. Requirements• Minimum 5+ years of experience in software engineering, with a focus on building CV applications.• Experience leading teams or managing projects. • Demonstrated expertise in ML infrastructure development and best coding practices for Python, C++, Rust or equivalent. • Experience with pipeline stability and resilience using tools, such as Datadog or equivalent. • Passionate about delivering high-quality products that exceed user expectations. • Eager to work with, mentor, and learn from peers through code reviews, design documents, and pair programming. • Enthusiastic about diving into different areas of technology and problem-solving.• Must be authorized to work in the United States. Nice-to-haves• Experience with generative AI technologies including VLM's. • Familiarity with the Nix package manager and its ecosystem. • Experience working in a fast-paced startup environment. • Experience building and scaling high availability distributed systems. Benefits• Competitive salary range of $160k - $210k based on experience and location. • Opportunities for professional development and growth. • Work-life balance and a people-first culture.Apply tot his job