Leads small AI team building real-time computer vision and generative AI systems for video security across thousands of cameras. Provides hands-on technical direction, architecture, hiring, and management; requires deep ML expertise and engineering leadership experience.
250k – 300k/yr
On-siteEngineering Management
About the role
What You’ll Do
Define the roadmap and technical direction for the AI team in partnership with leadership and product
Architect and review systems that deploy VLMs, VLAs, and CNNs across tens of thousands of cameras
De-risk complex technical initiatives through design reviews, experimentation, and structured evaluation
Lead 4 to 5 parallel projects with strong execution discipline while balancing incoming customer issues and shifting priorities
Collaborate closely with the product to make principled tradeoffs between speed, accuracy, and scalability
Contribute directly to implementation when needed and lead by example
Hire, mentor, and grow a high-performance AI engineering team
Establish strong engineering standards around reliability, observability, and model evaluation
What We’re Looking For
Several years of experience managing engineers and building a highly execution-driven culture
Strong technical depth in deep learning, computer vision, or multimodal systems
Track record of shipping production-grade ML systems at scale
Ability to balance technical debt, product velocity, and long-term architectural quality
Hands-on experience building systems at the intersection of ML, real-time systems, and robotics
Strong architectural judgment and ability to review complex system designs
Computer Science degree from a top institution; MS or PhD is a plus
Prior experience as a senior technical lead in robotics, AI, or large-scale ML systems
Skills
Deep LearningComputer VisionMultimodal SystemsMachine LearningCnnsVlmsVlasReal-Time SystemsRoboticsGenerative AI
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