Sr Software Engineer, Video Intelligence

Vivint; Washington; On-site; USD 150,000 - 180,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

Dental insurance

401K

Flexible spending accounts

Job summary

Vivint is looking for a Sr Video Intelligence Engineer to drive advancements in video understanding. The role involves owning video-language models and improving AI video search and summarization. With a strong focus on collaboration, you will partner with multiple teams to transition research models into production.

The ideal candidate should possess significant experience in software development and AI/ML, with a Bachelor's or Master's degree in a relevant field. The position offers a competitive salary range of $150K to $180K.

Benefits include medical, vision, dental, and 401K options.

Qualifications

• 5+ years of professional experience in software development, applied science, or ML engineering.
• 2+ years of ML engineering experience with a Master's degree.
• Experience with event detection, summarization, or model evaluation.

Responsibilities

• Own VLM strategy and video understanding.
• Improve AI video search and summarization.
• Partner with teams to move models from research to production.
• Develop production evaluation methods for video intelligence.
• Guide architecture decisions across cloud and edge platforms.

Skills

Python software engineering skills

Experience with LLMs

Experience with multimodal AI

Experience processing video content at scale

Education

Bachelor’s degree in Computer Science, Software Engineering, AI/ML, or related field

Master’s degree in Computer Science, Software Engineering, AI/ML, or related field

Tools

Docker

Kubernetes

GCP/AWS

Job description

We are seeking a Sr Video Intelligence Engineer to advance video understanding.

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 for this position is: $150K to $180K. The base salary range above represents the low and high end of the salary range for this position. Actual salaries will vary based on several factors including but not limited to location, experience, and performance. The range listed is just one component of the total compensation package for employees. Other rewards may include annual bonus, short‑and long‑term incentives, and program‑specific awards. In addition the position may be eligible to participate in the benefits program which include, but are not limited to, medical, vision, dental, 401K, and flexible spending accounts.

NRG Energy is committed to a drug and alcohol‑free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post‑accident and reasonable suspicion drug and alcohol testing.

EOE AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills.

EEO is the Law Poster: http://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf

Official description on file with Talent.