Machine Learning Engineer Intern, ServiceNow

Summer 2026

Salary not provided

For positions in this location, we offer a base pay of $55.18 - $63.35/hour, plus equity (when applicable), variable/incentive compensation & ESPP

SQL

AWS

GCP

JavaScript

Python

Java

Tensorflow

MySQL

Azure

NumPy

Pandas

Scikit-Learn

Kubeflow

PyTorch

Oracle

San Francisco Bay Area

Office located in Santa Clara, CA

Cloud-based digital workflows for enterprises

Posted today

Cloud-based digital workflows for enterprises

1001+ employees

B2BEnterpriseInternal toolsProductivitySaaSCloud Computing

Posted today

Salary not provided

For positions in this location, we offer a base pay of $55.18 - $63.35/hour, plus equity (when applicable), variable/incentive compensation & ESPP

SQL

AWS

GCP

JavaScript

Python

Java

Tensorflow

MySQL

Azure

NumPy

Pandas

Scikit-Learn

Kubeflow

PyTorch

Oracle

San Francisco Bay Area

Office located in Santa Clara, CA

1001+ employees

B2BEnterpriseInternal toolsProductivitySaaSCloud Computing

Company mission

To transform IT to revolutionise the enterprise.

Job

Company

Role

Who you are

Current enrollment in a full-time Bachelor's or Master's program in AI, Machine Learning, Data Science, Computer Science or a related discipline at an accredited university
Graduating December 2026, or later
Must be able to obtain and maintain authorization to work
Commit to a 12-week internship in Summer 2026 (May-August, or, June-September)
Capable of operating on a hybrid schedule from one of our office locations
Strong theoretical and practical knowledge of Machine Learning/Deep Learning
Understanding of machine learning fundamentals, including supervised/unsupervised learning, model evaluation, and optimization
Practical experience in systematically designing, building, evaluating, and productionizing machine learning solutions
Proficient in prompt engineering and developing LLM based features
Proficiency in multiple programming languages: Java, Python, JavaScript, and SQL; familiarity with ML libraries such as NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch
Innovative problem-solving skills for complex software challenges
Strong communication skills and experience in diverse cross-functional teams

Desirable

Experience in using Al productivity tools such as Cursor, Windsurf, etc
Experience with cloud platforms like AWS, GCP, or Azure and associated ML services
Familiarity with MLOps tools like MLflow, Kubeflow, and Weights & Biases
Knowledgeable about containerization and orchestration technologies
Understanding of relational databases such as MySQL or Oracle
Up-to-date with recent advances in AI research, including NLP/NLU and deep learning architectures
Prior experience from internships, academic projects, coding competitions, or publications

What the job involves

As a Machine Learning Engineering Intern, you will work alongside skilled engineers to enhance ServiceNow's natural language processing capabilities using advanced deep learning algorithms
You'll engage in data collection, synthetic data generation, and utilize customer data to bolster workflow intelligence
This internship offers hands-on experience in developing AI/ML solutions, cultivating innovative ideas, and contributing to projects that elevate user experiences and workflow efficiency
You will thrive in a dynamic and collaborative environment, laying a foundation for career growth

Our take

ServiceNow provides cloud-based solutions that define, structure, manage, and automate services for enterprise operations, transforming old, manual ways of working into modern digital workflows. The company was founded in 2004 with a vision to build a cloud-based platform that would enable regular people to route work effectively through the enterprise.

Much as Salesforce enables a company to manage its external clients by keeping a record of all contacts and interactions, ServiceNow promises an internal system to meet the needs of employees. It has succeeded in claiming half the market, setting itself apart from legacy IT service-management software players like BMC Software, Hewlett Packard Enterprise, Cherwell Software and CA Technologies.

The company's success comes from two product traits: simplicity and customisability. ServiceNow's IT tools don't require the IT department to set them up. Once running, they offer a single collection centre for requests, data points and checklists, all of which can in turn be analysed by algorithms to predict needs, flag concerns and measure efficiency.

The company has more than 7500 customers, including 80% of the Fortune 500 list of the United States' largest corporations. ServiceNow now looks to increase its revenue threefold in upcoming years and has entered into a 5-year partnership plan with Visa, beginning with the launch of a Visa-integrated dispute resolution solution for issuers. The company is prioritising organic growth over mergers and acquisitions, with a target revenue of $15 billion, something which its Visa partnership will no doubt aid in achieving.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

16% employee growth in 12 months

Glassdoor (4.3)

Trustpilot (2)

Company

Funding (last 2 of 6 rounds)

Mar 2012

$11m

GROWTH EQUITY VC

Feb 2012

$17.9m

GROWTH EQUITY VC

Total funding: $83.8m

Company benefits

Commuter benefits
Annual learning stipends
Work from home opportunities
Generous family leave
Matched donations
Flexible PTO
401(k) matching
Paid volunteer time

Company HQ

Santa Clara, CA

Leadership

Fred Luddy

(Founder & Chairman Of The Board)

Previously Software Developer at Amdahl Corporation for 4 years and CTO at Peregrine Systems for 13 years.

Salary benchmarks

We don't have enough data yet to provide salary benchmarks for this role.

Submit your salary to help other candidates with crowdsourced salary estimates.

Share this job

View 141 more jobs at ServiceNow