Senior ML / Computer Vision Engineer

Knightscope, Inc.; Sunnyvale (CA); Vor Ort; USD 200.000 - 240.000; Vollzeit

Benefits dieser Stelle

Medical

Dental

Vision

401(k)

Paid time off

Zusammenfassung

Knightscope, Inc. seeks an experienced ML Engineer to own the ICM 2.0 detection models, leading the transfer from a third‑party vendor and driving ongoing improvements to precision, recall and latency.

You will manage training, evaluation, and deployment pipelines and collaborate with backend and MLOps teams to scale the solution onsite in Sunnyvale. The role requires deep learning expertise, production experience in audio/video detection, and a track record of owning model codebases from

Qualifikationen

• 7+ years of ML engineering with production CV experience.
• Audio/video detection model expertise.
• Strong deep learning framework skills (PyTorch preferred).
• Experience deploying models at scale.
• Comfort taking ownership of an existing model from a third party.

Aufgaben

• 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.

Kenntnisse

7+ years ML engineering

audio/video detection

deep learning (PyTorch)

productionizing models

ownership of model codebase

Tools

PyTorch

Jobbeschreibung

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

• Medical
• dental
• vision
• 401(k)
• paid time off

Location Requirement

Full-time, on-site at Sunnyvale HQ