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Knightscope

Autonomous security robots via MaaS subscriptions

MLOps Engineer - Engineering Services

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeSunnyvale, CA, USA

About the Job

Requirements

  • Seven or more years of experience in machine learning infrastructure or MLOps engineering.
  • Strong experience productionizing models at scale.
  • Experience with model monitoring, drift detection, and observability.
  • Experience in data pipeline engineering.
  • Ability to support multiple product teams using shared infrastructure.

Responsibilities

  • Build the production machine learning deployment, monitoring, and observability pipeline across programs.
  • Take on the data pipeline scope originally planned for a separate hire.
  • Partner with the Signals machine learning/computer vision Engineer on ICM 2.0 production infrastructure.
  • Partner with K7 machine learning engineers on autonomy model deployment.
  • Establish MLOps standards and the software development lifecycle through the Center of Engineering Excellence.

Desired Qualifications

  • Experience with robotics or autonomy model deployment.
  • Computer vision model production experience.
  • Prior experience establishing an MLOps function from scratch.

About the Company

Knightscope

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.

Company size
51-200
Company stage
IPO
Headquarters
Sunnyvale, CA
Founded
2013

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