Machine Learning Engineer Intern
Who WE ARE
Imagine your work day dominated less by emails and spreadsheets and more time given back to you to do your actual job. At ServiceNow, we are making work life more life like and changing the way the biggest companies in the world are doing business.
Our technology helps structure and automate the flow of work to streamline the delivery of services across the modern enterprise so that individuals can have everything they need within their fingertips, just like they do in real life.
Why work @ ServiceNow?
Here’s what our “Class of 2019” has to say about working at ServiceNow:
- I was really glad to have a lot of proper, important work directed my way rather than a bunch of busywork and leftover tasks
- A great positive work environment. Everyone is always willing to help out when I have a question.
- I have been able to contribute to my team in a way that doesn’t just feel like I’m doing busy work, but that I’ve been helping make a real impact on the company.
- I have always said the best aspect of ServiceNow is the people, and that has continued to be true in every department and every team with which I have had the privilege to work with.
YOUR TEAM:
- You will be part of the core Platform as a Service offering; The Intelligent Automation Development team is building the core machine learning/AI/predictive analytics technology that will power revenue generating business use-cases using customer data to predict desired outcomes automatically; hence delivering a manifold increase in productivity of business processes of ServiceNow customers. The team focuses on operationalizing machine learning and predictive analytics use cases for all ServiceNow business applications.
what you’ll be doing:
- This internship will give you an opportunity to work on complex machine learning solutions. It will involve prototyping ML solutions and developing tests for existing ML solutions. You will also have opportunities to collaborate on multitudes of smaller projects with universal appeal - which requires research, investigation, awareness, interactivity, and asking questions.
WHO YOU ARE:
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science or related technical field.
- Must be currently enrolled in a full-time degree program and returning to the program after the completion of the internship.
- Completed projects or foundational classes focused on Data Structures and Algorithms.
- Have experience implementing projects using one or more languages (C, C++, Java, Python)
- Have awareness of Machine Learning concepts such as classification, regression, clustering.
- Have awareness of text processing and representation using machine learning methods.
What’s it like to work @ ServiceNow?
Career growth is a way of life at ServiceNow; our managers truly develop employees. Add new skills to your resume, take on new challenges and discover your full potential.
We provide competitive compensation, generous benefits and a professional atmosphere. This is a very collaborative and inclusive work environment where individuals strong on aptitude and attitude will have an opportunity to grow their professional careers through working with some of the most advanced technology and talented developers in the business.
ServiceNow is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
ServiceNow is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, or veteran status. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at (408) 501-8550, or [email protected] for assistance.
ServiceNow is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, or veteran status. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at (408) 501-8550, or [email protected] for assistance.