Job description

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 Own ICM 2.0 detection models and the training, evaluation, and deployment pipeline. Lead knowledge transfer from the current vendor on the detection engine. Partner with the video/streaming backend team on model serving and inference infrastructure. Partner with the MLOps Engineer on production model deployment and monitoring. Drive measurable improvement in detection precision, recall, and latency. Required Qualifications 7+ years in ML engineering with production computer vision experience. Audio/video detection model expertise . Strong deep learning framework skills ( PyTorch preferred). Experience productionizing models at scale. Comfort taking ownership of an existing model codebase from a third party. Nice to Have Security, safety, or public-space detection use cases. On-device inference or edge deployment experience. Multimodal (audio plus video) detection architectures. 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

Requirements

Must-haves

Location: ONSITE - Sunnyvale, CA
Own ICM 2.0 detection models and the training, evaluation, and deployment pipeline.
Lead knowledge transfer from the current vendor on the detection engine.
Partner with the video/streaming backend team on model serving and inference infrastructure.
Partner with the MLOps Engineer on production model deployment and monitoring.
Drive measurable improvement in detection precision, recall, and latency.
7+ years in ML engineering with production computer vision experience.
Audio/video detection model expertise .
Experience productionizing models at scale.
Comfort taking ownership of an existing model codebase from a third party.

Nice-to-haves

Strong deep learning framework skills ( PyTorch preferred).
Security, safety, or public-space detection use cases.
On-device inference or edge deployment experience.
Multimodal (audio plus video) detection architectures.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiml

Platform: bamboohr
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off