Senior Software Engineer, Video Intelligence

Role Description

We are seeking a Sr Video Intelligence Engineer to advance video understanding. This role will build video-language, summarization, context, and event-reasoning capabilities that improve camera intelligence and customer trust. In this role, you will be responsible to:

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.

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.

Requirements

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.

Benefits

The base salary range for this position is: $150K to $180K.

Actual salaries will vary based on several factors including but not limited to location, experience, and performance.

Other rewards may include annual bonus, short- and long-term incentives, and program-specific awards.

The position may be eligible to participate in the benefits program which includes, but is not limited to, medical, vision, dental, 401K, and flexible spending accounts.