Senior ML / Computer Vision Engineer
Sunnyvale, California, United States
- Pay
$200,000–240,000/year · BaseAnnual period assumed — pay source
Compensation and Benefits Base Salary: $200,000 to $240,000 (DOE) Equity: Stock options
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingYou 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 own the detection intelligence at the heart of Signals: the ICM 2.0 audio/video detection engine, currently built by a third-party vendor.
Own ICM 2.0 detection models and the training, evaluation, and deployment pipeline.
You will lead the knowledge transfer, take over model ownership, and drive measurable improvement in detection quality over time.
From the employer’s posting
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.
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
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.
What you’ll bring
All qualificationsCore experience
- 7+ years in ML engineering with production computer vision experience.
- Experience productionizing models at scale.
Qualification wording
7+ years in ML engineering with production computer vision experience.
Experience productionizing models at scale.
Tools in this posting
- PyTorch
Source — Tool mentions in context
- Audio/video detection model expertise. - Strong deep learning framework skills (PyTorch preferred). - Experience productionizing models at scale.
Benefits in the posting
Full benefits wording- Equity: Stock options
From the employer’s posting.
About Knightscope, Inc.
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.
In the employer’s words · Read in context
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
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on knightscope.bamboohr.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Compensation and Benefits Base Salary: $200,000 to $240,000 (DOE) Equity: Stock options
- Location & working pattern
Sunnyvale, California, United States
Benefits: Medical, dental, vision, 401(k), paid time off Location Requirement: Full-time, on-site at Sunnyvale HQ
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Oct 7, 2026
- Recorded sightings
- 1
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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