Sr Software Engineer, Video Intelligence

About the role

We are seeking a Sr Video Intelligence Engineer to advance video understanding. This role will build video-language, summarization, context, and event-reasoning capabilities that improve camera intelligence and customer trust.

Responsibilities

• Own VLM strategy, video-language understanding, temporal video reasoning, event understanding, and multimodal embeddings.
• Improve AI Video Search, video summarization, alert relevance, recognition support, and false-alert reduction.
• Build and evaluate systems that generate useful natural-language descriptions, insights, and summaries from video.
• Partner with AI, platform, product, and app teams to move models from research to production.
• Develop production evaluation methods for precision, recall, grounding, latency, safety, and customer usefulness.
• Guide architecture decisions across cloud, edge, and hybrid inference paths for video intelligence.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 5+ years of professional experience in software development, applied science, or ML engineering; or
• Master’s degree in Computer Science, Software Engineering, AI/ML, or a related technical field, and 2+ years of professional experience in software development, applied science, or ML engineering
• Experience with LLMs, vision-language models, multimodal AI, or generative AI systems
• Strong Python software engineering skills
• Experience processing, analyzing, or serving video content at scale
• Familiarity with event detection, summarization, semantic understanding, embeddings, or model evaluation
• Experience deploying AI services into production with Git and CI/CD workflows

Preferred Qualifications

• Experience generating natural-language descriptions, summaries, or searchable representations from video
• Experience with multimodal foundation models, temporal video understanding, re-identification, or vector retrieval
• Experience improving precision/recall, reducing false alerts, or evaluating customer-facing camera AI
• Experience with smart home, security camera, IoT, edge/cloud, or real-time inference architectures
• Experience with Docker, Kubernetes, GCP/AWS, or production model monitoring

Benefits

The base salary range for this position is: $150K to $180K