Senior Video Intelligence Engineer | AI Video Understanding

NRG

Washington (District of Columbia)

Hybrid

USD 190,000 - 207,000

Full time

5 days ago
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Benefits offered by this job

Medical benefits
Dental benefits
Vision benefits
401K
Flexible spending accounts

Job summary

NRG is seeking a Sr Video Intelligence Engineer to advance video understanding across cloud, edge, and hybrid inference paths. You will own video-language modeling, temporal reasoning, and multimodal embeddings, delivering production-ready AI services at scale.

You will collaborate with AI, platform, product, and app teams to deploy models, improve precision and recall, and reduce false alerts while ensuring customer usefulness and safety in hybrid environments.

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, AI/ML, or related field with 5+ years in software development, applied science, or ML engineering; or
  • Master's degree in CS/SE/AI/ML with 2+ years in software development, applied science, or ML engineering

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
Video processing
Event detection
CI/CD
Video understanding

Education

Bachelor's degree in CS/SE/AI/ML
Master's degree in CS/SE/AI/ML

Tools

Docker
Kubernetes
GCP/AWS

Job description

NRG is seeking a Sr Video Intelligence Engineer to advance video understanding across cloud, edge, and hybrid inference paths. You will own video-language modeling, temporal reasoning, and multimodal embeddings, delivering production-ready AI services at scale.

You will collaborate with AI, platform, product, and app teams to deploy models, improve precision and recall, and reduce false alerts while ensuring customer usefulness and safety in hybrid environments.

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