Senior ML / Computer Vision Engineer

ExperiencedFull-time
Sunnyvale, California, United Statesvia knightscope CareersPosted Oct 5, 2026
Match with my CV

Technical skills

Data scienceSRE

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

Before you apply

  • 1Which parts of your CV prove experience with Data science and SRE?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?

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