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ML Ops Engineer, Engineering Services

Sunnyvale, California, United States

Pay
$180,000–210,000/year · BaseAnnual period assumed — pay source
Compensation and Benefits Base Salary: $180,000 to $210,000 (DOE) Equity: Stock options
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Work setup
Unconfirmed
Employment
Unconfirmed
Apply at Knightscope, Inc.

What you’ll work on

Full posting

You will build the MLOps function that Knightscope needs but does not yet have.

  • You will build the MLOps function that Knightscope needs but does not yet have.

  • Build the production ML deployment, monitoring, and observability pipeline across programs.

  • You will own the shared infrastructure that lets all of them ship, monitor, and improve models reliably.

From the employer’s posting
You will build the MLOps function that Knightscope needs but does not yet have. K7 autonomy, Signals ICM 2.0 detection, Digital Twin, and OpenExO all depend on production ML, and today each improvises alone. You will own the shared infrastructure that lets all of them ship, monitor, and improve models reliably.
About the Role You will build the MLOps function that Knightscope needs but does not yet have. K7 autonomy, Signals ICM 2.0 detection, Digital Twin, and OpenExO all depend on production ML, and today each improvises alone. You will own the shared infrastructure that lets all of them ship, monitor, and improve models reliably. Key Responsibilities
Key Responsibilities Build the production ML deployment, monitoring, and observability pipeline across programs. Absorb the data pipeline scope originally scoped as a separate hire.

What you’ll bring

All qualifications

Core experience

  • 7+ years in ML infrastructure or MLOps engineering.
  • Strong experience productionizing models at scale.
Qualification wording
7+ years in ML infrastructure or MLOps engineering.
Strong 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

View original 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. 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 build the MLOps function that Knightscope needs but does not yet have. K7 autonomy, Signals ICM 2.0 detection, Digital Twin, and OpenExO all depend on production ML, and today each improvises alone. You will own the shared infrastructure that lets all of them ship, monitor, and improve models reliably. 

Location: ONSITE - Sunnyvale, CA


About the Role 

You will build the MLOps function that Knightscope needs but does not yet have. K7 autonomy, Signals ICM 2.0 detection, Digital Twin, and OpenExO all depend on production ML, and today each improvises alone. You will own the shared infrastructure that lets all of them ship, monitor, and improve models reliably. 


Key Responsibilities 

  • Build the production ML deployment, monitoring, and observability pipeline across programs. 
  • Absorb the data pipeline scope originally scoped as a separate hire. 
  • Partner with the Signals ML/CV Engineer on ICM 2.0 production infrastructure. 
  • Partner with K7 ML engineers on autonomy model deployment. 
  • Establish MLOps standards and SDLC through the Center of Engineering Excellence. 


Required Qualifications 

  • 7+ years in ML infrastructure or MLOps engineering. 
  • Strong experience productionizing models at scale. 
  • Model monitoring, drift detection, and observability. 
  • Data pipeline engineering experience. 
  • Comfort supporting multiple product teams from shared infrastructure. 


Nice to Have 

  • Robotics or autonomy model deployment. 
  • Computer vision model production experience. 
  • Prior work standing up an MLOps function from scratch. 


Compensation and Benefits 

Base Salary: $180,000 to $210,000 (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.

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Source & posting history

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Pay
Compensation and Benefits Base Salary: $180,000 to $210,000 (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
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