Senior Machine Learning / Computer Vision Engineer
Knightscope
Senior Machine Learning / Computer Vision Engineer
Knightscope
Autonomous security robots via MaaS subscriptions
About Knightscope
Knightscope (NASDAQ: KSCP) is a security technology company building the nation's first Autonomous Security Force: autonomous machines, AI-driven software, and elite security professionals operating as one integrated managed service. The Company is on a mission to make the United States of America the safest country in the world. One Team. One Force.
Job Summary
You will own the detection intelligence at the heart of Signals: the ICM 2.0 audio/video detection engine, currently built by a third-party vendor. You will lead the knowledge transfer, take over model ownership, and drive measurable improvement in detection quality over time.
Location: ONSITE - Sunnyvale, CA
About the Role
You will own the detection intelligence at the heart of Signals: the ICM 2.0 audio/video detection engine, currently built by a third-party vendor. You will lead the knowledge transfer, take over model ownership, and drive measurable improvement in detection quality over time.
Key Responsibilities
Required Qualifications
Nice to Have
Compensation and Benefits
Base Salary: $200,000 to $240,000 (DOE)
Equity: Stock options
Benefits: Medical, dental, vision, 401(k), paid time off
Location Requirement: Full-time, on-site at Sunnyvale HQ
Autonomous security robots via MaaS subscriptions
Knightscope provides public safety technology through Autonomous Security Robots (ASRs) and blue light emergency communication systems. The ASRs patrol autonomously around the clock, using sensors and AI-driven surveillance to monitor spaces and alert security teams in real time. It uses a Machine-as-a-Service model, offering hardware, software, and ongoing support on a recurring subscription rather than a large upfront purchase. Its goal is to multiply human security capabilities and enable rapid response across corporate campuses, data centers, transit authorities, and higher education institutions by combining robotic surveillance with emergency communications.
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