Senior Video Intelligence Engineer (AI/ML)

Vivint Smart Home; Seattle (WA); Hybrid; USD 190.000 - 207.000; Vollzeit

Benefits dieser Stelle

Medical, Vision, Dental

401K

Flexible spending accounts

Zusammenfassung

NRG Energy seeks an experienced AI/ML engineer to own video-language understanding (VLM) strategy, temporal video reasoning, and multimodal embeddings. You will drive improvements in AI video search, summarization, and alert relevance, while building scalable systems.

You will collaborate with AI, platform, product, and app teams to transition research into production, and develop robust evaluation methods for precision, recall, latency, and safety. Hybrid in-office Seattle.

Qualifikationen

• Bachelor's or Master's degree in a technical field with 2+ years (MS) or 5+ years (BA) of software/ML experience.
• Experience with LLMs, vision-language models, multimodal AI, or generative AI systems.
• Strong Python software engineering skills and production-grade experience.

Aufgaben

• 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 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, latency, and safety.

Kenntnisse

LLMs

Python

Video processing

CI/CD

Production deployment

Multimodal AI

Cloud/edge inference

Ausbildung

Bachelor's in CS / SE / AI

Master's in CS / SE / AI

Tools

Docker

Kubernetes

GCP

AWS

Model monitoring

Jobbeschreibung

NRG Energy seeks an experienced AI/ML engineer to own video-language understanding (VLM) strategy, temporal video reasoning, and multimodal embeddings. You will drive improvements in AI video search, summarization, and alert relevance, while building scalable systems.

You will collaborate with AI, platform, product, and app teams to transition research into production, and develop robust evaluation methods for precision, recall, latency, and safety. Hybrid in-office Seattle.