Senior Staff Software Development Engineer - Video Insights (Backend)

Define the technical strategy and best practices for model development, evaluation, and monitoring across the team

Lead architectural decisions around model selection, optimization, and fine-tuning pipelines for video understanding tasks

Collaborate with research and engineering teams to translate complex AI research into production-ready systems

Champion adoption of MLOps best practices, including model versioning, A/B testing, and continuous evaluation frameworks

Drive performance optimization initiatives to ensure models meet latency and throughput requirements at scale

Mentor and guide engineers on architectural patterns, design decisions, and technical trade-offs in AI systems

Establish frameworks for model evaluation metrics, benchmarking, and continuous improvement processes

Deep expertise in designing scalable machine learning systems, including data pipelines, model serving, and inference optimization

Strong background in large-scale distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerization (Docker, Kubernetes)

Hands-on experience with modern ML frameworks (PyTorch, TensorFlow) and MLOps tools (MLflow, Kubeflow, Airflow)

Expert-level proficiency in at least one programming language (Python, Java, or C++), with strong software engineering fundamentals

Deep understanding of video processing pipelines, codec standards (H.264, HEVC, AV1), and streaming technologies

Experience with deploying and scaling video understanding or multimodal AI models in production environments

Knowledge of model optimization techniques including quantization, pruning, knowledge distillation, and efficient inference

BE/B.Tech in Computer Science, Electrical Engineering, or equivalent. MS or PhD in ML/AI is a strong plus

Excellent communication skills and ability to drive alignment across technical and non-technical stakeholders