Senior ML / Computer Vision Engineer
Role Overview
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 Skills for This Role
Full Job Posting
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
- Strong deep learning framework skills (PyTorch preferred).
About Knightscope, Inc.
Public American security technology company providing autonomous robots, AI software, and licensed human security services to commercial and government clients.
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