ServiceNow

Machine Learning Engineer

ServiceNow • $139K — $158K *
Santa Clara, CA 95051In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Master's degree in a technical field with 1-3 years of related experience.
  • Experience integrating AI into workflows and decision-making processes.
  • Strong foundations in software engineering principles including data structures and algorithms.
  • Hands-on experience with Docker and Kubernetes for deployment.
  • Solid understanding of machine learning fundamentals and multimodal models.
  • Ability to evaluate model quality and design appropriate test sets.
  • Experience operating scalable and reliable ML services.

Responsibilities

  • Design and improve scalable ML services for document extraction and visual understanding.
  • Deploy and manage services on Kubernetes, ensuring reliability and observability.
  • Maintain code quality through testing and monitoring service performance.
  • Develop product features from requirements to deployment and release.
  • Collaborate with cross-functional teams to define success criteria and communicate capabilities.

Benefits

  • Health plans including flexible spending accounts.
  • 401(k) Plan with company match.
  • Employee Stock Purchase Plan (ESPP).
  • Flexible time away plan and family leave programs.
Full Job Description
Job Description

About the Team

The Multimodal team is transforming how ServiceNow understands multimodal content, including documents, images, and videos, by bringing the latest advances in AI into enterprise workflows. We build and own the platform services and products that power use cases across document extraction, visual understanding, and agentic automation. Our team includes ML engineers and applied researchers who are passionate about turning cutting-edge research into reliable products that deliver real customer impact.

Job Description

The Machine Learning Engineer designs, builds, deploys, and operates the services behind ServiceNow's multimodal AI capabilities, helping the platform understand documents, images, and videos. The Engineer works on the platform services and products that bring LLMs into reliable, scalable enterprise features. This role needs someone who cares deeply about building production-ready ML services: designing clean APIs and pipelines, deploying and scaling services on Kubernetes, and keeping them fast, observable, and resilient. The Engineer owns the quality and correctness of what ships, whether the code was written by a human or with the help of AI coding agents.

What you get to do:
  • 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.


Qualifications

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.
  • Software engineering fundamentals. Strong command of data structures, algorithms, system design, APIs, concurrency, and testing. Java or JavaScript experience is a bonus.
  • Hands-on experience with Docker and Kubernetes
  • ML foundations. Solid understanding of machine learning fundamentals and how LLMs and vision-language models are integrated into applications.
  • Computer vision and model evaluation. Understanding computer vision techniques and the ability to evaluate model quality independently, including designing test sets and choosing the right metrics.
  • Production mindset. Experience building, deploying, and operating services, with attention to scalability, observability, and reliability.
  • Hands-on multimodal experience. Projects, research, or work involving document understanding or multimodal models is a strong plus.
  • AI-native approach. Curiosity and a track record of using AI tools to improve engineering workflows.
  • Growth mindset. Eagerness to learn, take ownership, and grow in a collaborative team.


For positions in this location, we offer a base pay of $139,700 - $158,900, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

About ServiceNow

ServiceNow provides cloud-based solutions that define, structure, manage, and automate services for enterprise operations in North America, Europe, the Middle East, Africa, the Asia Pacific, and other countries. The company offers service management solutions, including incident, problem, change, request, and cost management as well as service catalogs; and IT, HR, facilities, and field service management solutions. It also provides IT operations management solutions covering service mapping, delivery, and assurance solutions; business management solutions such as financial management, project portfolio suite, vendor performance management, and performance analytics as well as governance, risk, and compliance; and application development services.

ServiceNow Careers

Join the dynamic team at ServiceNow, a global leader in digital workflow solutions, where innovation and leadership converge to shape the future of work. At ServiceNow, we offer more than just job opportunities; we provide a platform for professional growth and a chance to be part of a culture that values diversity, creativity, and continuous learning.

Work You’ll Do

Embark on a career journey with ServiceNow and contribute to the world’s leading enterprises' digital transformation. Our team is at the forefront of developing cutting-edge technologies that improve how people work. With ServiceNow, you will use your skills to impact businesses and industries profoundly, driving efficiency and innovation.

Join Our Market-Leading Team

ServiceNow is not just another technology company. We are a team that thrives on diversity and leadership, fostering an inclusive environment that promotes growth and development. Our commitment to diversity training ensures that every team member can achieve their potential.

Innovative Work

ServiceNow is home to more than 10,000 dedicated professionals who lead the charge in digital workflows and enterprise solutions. As part of our team, you will engage in projects that merge technology with practical applications, creating revolutionary products that advance how services are delivered and managed.

Career Development

At ServiceNow, your career trajectory is filled with boundless opportunities. We support your growth with robust training programs, leadership development courses, and access to global challenges. Whether you are looking for an internship, full-time position, or leadership role, ServiceNow equips you with the tools to excel.

Be Part of a Great Team

Working at ServiceNow means being part of a community that values teamwork and innovation. Our collaborative environment encourages networking and sharing ideas, making our workplace vibrant and dynamic. The benefits of joining ServiceNow extend beyond comprehensive health and wellness; they include fostering professional connections and friendships that last a lifetime.

Explore Job Opportunities and Internships

Whether you’re a seasoned professional or a recent graduate, ServiceNow offers a range of employment options to suit your career goals. From internships that provide real-world experience to full-time positions that challenge you to leverage your expertise, we are committed to hiring the best talent.

Stay Connected

Join Our Team Search open positions that match your skills and interests. At ServiceNow, we look for passionate, curious, and solution-driven team players. Explore the possibilities that await you at a company that is committed to your professional success.

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ServiceNow Careers

Empowering professionals to achieve more, ServiceNow is where careers are future-proofed, and ambitions are realized. Join us in our journey of growth and innovation.
Learn more about ServiceNow
Size
16,881 employees
Market Cap
$76.5 billion
Industry
Information Technology
Net Income
$118.5 million
Founded
2004
5 Year Trend
+33.5%
Revenue
$4.5 billion
NASDAQ
NOW
* Ladders Estimates

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