Pay
In line with similar jobs
$200K–$240K against $166K–$240K, the middle half of what similar US postings state.
From 1,319 postings in the last year. Stated ranges, not salaries paid.
Senior ML / Computer Vision Engineer
Sunnyvale, California, United States
Live, first seen by us 32 days ago- 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 setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-Time
From the employer’s posting
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.
Own ICM 2.0 detection models and their training, evaluation, and deployment pipeline
Lead knowledge transfer from the current third-party detection engine vendor
Partner with the video backend team on model serving and inference infrastructure
Partner with the MLOps Engineer on production model deployment and monitoring
Drive measurable gains in detection precision, recall, and latency
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.
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.
What you’ll bring
All qualificationsCore experience
- 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
Qualification wording
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.
Benefits in the posting
Full benefits wording- Equity: Stock options
From the employer’s posting.
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.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 7, 202632 days ago
- Recorded sightings
- 28
- Last seen by us
- Nov 8, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 32
Similar jobs usually come down between day 7 and day 72.
From 4,645 similar postings that came down. Coming down is not always a hire.
Knightscope is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- PyTorch
Where the posting names them
- Audio/video detection model expertise. - Strong deep learning framework skills (PyTorch preferred). - Experience productionizing models at scale.
Your next step
Complete your application on knightscope.bamboohr.com. The employer’s form will show what is required.
Applying through BambooHR
- No account needed. The form takes images too, but an image of a resume has no text for anyone to search: upload a PDF or Word file.
Already applied? Track this application
About Knightscope
- People
- About 90 in 2025, up 27% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as KSCP.
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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
Source details
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.