Senior Video Intelligence Engineer - AI & Multimodal

Vivint; Seattle (WA); Hybrid; USD 190,000 - 207,000; Full time

Job summary

Vivint is seeking a Sr Video Intelligence Engineer in Seattle to advance video understanding and multimodal intelligence. You will own strategy for video-language models, temporal reasoning, and event detection, delivering useful natural-language descriptions and summaries from video.

You will collaborate with AI, platform, product, and app teams to bring research into production, and shape evaluation methods for accuracy, latency and safety across cloud and edge paths.

Qualifications

• Bachelor’s or Master’s degree in CS/SE/AI or related field with relevant experience.
• 5+ years (or 2+ with Master’s) of software/ML engineering or applied science.
• Experience with LLMs, vision-language models, or generative AI systems.
• Strong Python software engineering skills.
• Experience processing or serving video content at scale.
• Familiarity with event detection, summarization, embeddings, or model evaluation.
• Experience deploying AI services into production with Git and CI/CD workflows.

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.

Skills

Python

LLMs

Vision-language models

Multimodal AI

AI/ML engineering

Education

Bachelor's degree in CS/SE/AI or related field

Master's degree in CS/SE/AI or related field

Tools

Docker

Kubernetes

GCP/AWS

Job description

Vivint is seeking a Sr Video Intelligence Engineer in Seattle to advance video understanding and multimodal intelligence. You will own strategy for video-language models, temporal reasoning, and event detection, delivering useful natural-language descriptions and summaries from video.

You will collaborate with AI, platform, product, and app teams to bring research into production, and shape evaluation methods for accuracy, latency and safety across cloud and edge paths.