Sr Software Engineer, Video Intelligence

Sr Video Intelligence Engineer – This role focuses on advancing video understanding through video-language modeling, summarization, temporal reasoning, event detection, and multimodal embeddings to enhance 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. Required Qualifications 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. Base salary range: $150,000 to $180,000. Compensation may include additional incentives and benefits such as medical, vision, dental, 401(k), and flexible spending accounts. Position requires in‑office presence in Seattle, WA on a hybrid schedule (Monday–Thursday on site, Friday remote). The position will start remote and then transition to the hybrid schedule. NRG Energy is committed to a drug and alcohol‑free workplace. To the extent permitted by law, employees are subject to periodic random drug testing and reasonable‑suspicion testing. EOE AA M/F/Protected Veteran Status/Disability. Level, title and/or salary may be adjusted based on applicant experience or skills. EEO is the Law Poster (The poster can be found at Official description on file with Talent. #J-18808-Ljbffr Nrg Bluewater Wind