Machine Learning Engineer

ServiceNow is an AI platform company that helps businesses connect AI, data, and workflows to improve how they operate. The Machine Learning Engineer will build, deploy, and operate production-ready multimodal ML services for understanding documents, images, and videos, including scalable APIs, pipelines, and LLM-powered enterprise features. The role also involves ensuring quality, reliability, observability, and collaboration across product and engineering teams.

Responsibilities

Build scalable ML services. Design, develop, and improve services and pipelines for document extraction, visual understanding, and agentic automation, integrating LLMs into production systems

Deploy and operate on Kubernetes. Containerize, deploy, and scale services on Kubernetes, and contribute to CI/CD, observability, and alerting that keep them reliable

Own quality and reliability in production. Write clean, tested code, build automated tests, monitor service health, and help investigate and resolve customer-facing issues such as performance limits and quality gaps

Build product features end to end. Turn product requirements into well-designed features, from API design and data handling to performance tuning and release

Collaborate across teams. Partner with product managers, engineers, designers and consuming product teams to define success criteria, understand tradeoffs, and communicate capabilities and limitations clearly

Preferred

Java or JavaScript experience is a bonus

Projects, research, or work involving document understanding or multimodal models is a strong plus

Java

JavaScript

Document Understanding

Multimodal Models

Benefits

Equity (when applicable)

Variable/incentive compensation

Health plans, including flexible spending accounts

A 401(k) Plan with company match

ESPP

Matching donations

A flexible time away plan

Family leave programs

Flexible work persona

Company

Cloud platform for digitizing and unifying organizations

Santa Clara, California, USA

http://www.servicenow.com/

Founded in 2004

10001+ employees

Qualifications

Master's degree in Computer Science, Machine Learning, or a related technical field, with 1 to 3 years of related experience

Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry

Strong command of data structures, algorithms, system design, APIs, concurrency, and testing

Hands-on experience with Docker and Kubernetes

Solid understanding of machine learning fundamentals and how LLMs and vision-language models are integrated into applications

Understanding computer vision techniques and the ability to evaluate model quality independently, including designing test sets and choosing the right metrics

Experience building, deploying, and operating services, with attention to scalability, observability, and reliability

Curiosity and a track record of using AI tools to improve engineering workflows

Eagerness to learn, take ownership, and grow in a collaborative team

Java or JavaScript experience is a bonus

Projects, research, or work involving document understanding or multimodal models is a strong plus

Master's degree in Computer Science, Machine Learning, or a related technical field, with 1 to 3 years of related experience.

Required skills

Machine Learning, Large Language Models (LLMs), Computer Vision, Multimodal Models, Model Evaluation, Data Structures and Algorithms, System Design, API Design, Concurrency, Software Testing, Docker, Kubernetes, Production ML Services

Preferred skills

Java or JavaScript experience is a bonus

Experience

1-3 years