Multimodal ML Engineer: Scale Production AI Services

SmartRecruiters, Inc.; Santa Clara (CA); Hybrid; USD 159,000 - 178,000; Full time

Benefits offered by this job

Health plans

401(k) Plan with company match

ESPP

Matching donations

Flexible time away plan

Family leave programs

Job summary

ServiceNow in Santa Clara is seeking a Machine Learning Engineer to build and operate the services behind our multimodal AI capabilities, enabling production-grade handling of documents, images, and videos using LLMs.

The role emphasizes clean APIs, scalable pipelines, deployment on Kubernetes, and strong focus on observability and reliability; you will collaborate cross-functionally to deliver end-to-end features in a fast-moving AI-native environment.

Qualifications

• Master's degree in CS/ML with 1–3 years related experience.
• Experience integrating AI into workflows, decision-making, or problem-solving.
• Hands-on Docker and Kubernetes experience.
• ML foundations; understanding of LLMs and vision-language models in apps.
• Production mindset; scalable, observable services.

Responsibilities

• Build scalable ML services for document extraction, visual understanding, and agentic automation, integrating LLMs into production systems.
• Deploy and operate on Kubernetes; containerize, deploy, and scale services with CI/CD, observability, and alerting.
• Own quality and reliability in production; write clean, tested code, build automated tests, monitor service health, resolve customer-facing issues.
• Build product features end to end; translate requirements into API design, data handling, performance tuning and release.
• Collaborate with product managers, engineers, designers and consuming product teams to define success criteria and communicate capabilities.

Skills

AI integration in workflows

Production mindset

Growth mindset

Collaboration

Multimodal experience

Education

Master's degree in Computer Science / Machine Learning

Tools

Docker

Kubernetes

Job description

ServiceNow in Santa Clara is seeking a Machine Learning Engineer to build and operate the services behind our multimodal AI capabilities, enabling production-grade handling of documents, images, and videos using LLMs.

The role emphasizes clean APIs, scalable pipelines, deployment on Kubernetes, and strong focus on observability and reliability; you will collaborate cross-functionally to deliver end-to-end features in a fast-moving AI-native environment.