Software Engineer, Full Stack (Data & Video Analysis)

Preferred

• Production experience with video platforms and their infrastructure, including ingest, storage, transcoding, playback, and review of high-volume engineering video.
• Strong familiarity with large language model tools and capabilities, including how they work and where they can be used, or experience applying them to computer vision problems in production.
• Experience shipping applied machine learning, statistical models, or computer vision into a system other people depend on, or serving models for inference, including live inference. Relevant tools include PyTorch, OpenCV, Ultralytics or other YOLO-family detectors, and scikit-learn.
• Production experience with the Python data stack (Pandas, NumPy, SciPy) and PostgreSQL.
• Experience with time-series or other signal data, including cleaning, transformation, feature extraction, and analysis, or with taking models from training through deployment and maintenance.
• Experience profiling and optimizing production data systems or interactive applications, including query latency, memory use, throughput, or interactive rendering of large datasets, and keeping those gains as volume grows.
• Experience operating production infrastructure, including Linux, Docker, Kubernetes, HPC systems, a web application framework, CI/CD, batch or job processing, or observability.
• Experience leading incident response and reliability work for multi-service applications, including monitoring and alerting.