ML Ops Engineer, Engineering Services

Knightscope, Inc; Sunnyvale (CA); Vor Ort; USD 180.000 - 210.000; Vollzeit

Benefits dieser Stelle

Stock options

Medical, dental, vision, 401(k), PTO

Zusammenfassung

Knightscope, Inc. in Sunnyvale, CA seeks an experienced MLOps Engineer to build and own the shared ML deployment, monitoring and observability infrastructure for multiple programs.

You will partner with Signals ML/CV and autonomy teams to productionize models at scale, establish SDLC standards, and drive data pipeline integration across products.

Qualifikationen

• 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

Aufgaben

• 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.

Kenntnisse

ML infrastructure

MLOps engineering

Model deployment

Data pipeline

Observability

Drift detection

Multi-team support

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 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