Sorry, this listing is no longer accepting applications. Don’t worry, we have more awesome opportunities and internships for you.

Associate Machine Learning Engineer Intern

ServiceNow

Associate Machine Learning Engineer Intern

Santa Clara, CA
Internship
Paid
  • Responsibilities

    Job Description

    • _ Internship Program Overview_

    At ServiceNow, we’re looking for students who want to learn, grow, and take a giant step early in their careers, all while making a giant impact. We offer 12-week summer internship opportunities across various business functions.

    Interns will participate in executive speaker series, career development workshops, philanthropic efforts, and team-building activities. Additionally, interns will have access to online learnings and a dedicated Summer Coach to further grow their careers with us.

    If you want to make work, work better, we want you. To learn more, check out our Early Career Page!

    About Digital Technology

    We’re not yesterday’s IT department, we are Digital Technology. The world around us keeps changing and so do we. We’re redefining what it means to be IT with a mindset centered on transformation, experience, AI-driven automation, innovation, and growth. We’re all about delivering delightful, secure customer and employee experiences that accelerate ServiceNow’s journey to become the defining enterprise software company of the 21st century. And we love co-creating, using, and highlighting our own products to do it.

    Ultimately, we strive to make the world work better for OUR employees and customers—when you work in ServiceNow Digital Technology , you work for them.

    What you’ll be doing, in this specific role:

    • Design the natural language processing components of ServiceNow NLU capabilities by enhancing core deep learning algorithms.
    • Participate in data collection, creating benchmarks, etc.
    • Develop innovative patentable ideas that ensure the competitiveness of this product within the domain of similar work being done in the industry.
    • Advance the natural language capabilities of the ServiceNow platform.
    • Bring intelligence to customer workflows by leveraging their individual data.
    • Structured data (workflow state evolution, database tables).
    • Unstructured data (utterances, descriptions, documents).
    • Write, debug, and test using a mix of JavaScript and server-side Java.
    • Implement web interfaces using JavaScript frameworks like React, Angular and CSS
  • Qualifications

    Qualifications

    Who you are:

    • Currently enrolled in an accredited university pursuing a Bachelor's degree in Computer Science, Data Science, Statistics, or a related field
      • Graduating no earlier than December 2024
    • Solid Machine learning/Deep learning theoretical knowledge and practical experience.
    • Experience using embeddings (context-aware embeddings/multi-model embeddings).
    • Solid practical experience to systematically approach, design, and build a machine learning/deep learning solution, evaluate it, and productionize it.
    • Strong written and verbal communication skills
    • Experience with Python
    • Familiarity with relational databases: SQL, MySQL, Oracle (Optional)
    • High levels of creativity and quick problem-solving capabilities
    • Preferred: Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications
    • Preferred: experience in Natural Language Processing (NLP)/Natural Language Understanding (NLU) based solutions

    For positions in the Bay Area, we offer a base pay of $55.18/hour, 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 (subject to eligibility requirements). Compensation is based on the geographic location in which the role is located, and is subject to change based on work location.

    Additional Information

    ServiceNow is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law.

    At ServiceNow, we lead with flexibility and trust in our distributed world of work. Click here to learn about our work personas: flexible, remote and required-in-office.

    If you 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 talent.acquisition@servicenow.com for assistance.

    For positions requiring access to technical data subject to export control regulations, including Export Administration Regulations (EAR), ServiceNow may have to obtain export licensing approval from the U.S. Government for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by the U.S. Government.

    Please Note: Fraudulent job postings/job scams are increasingly common. Click here to learn what to watch out for and how to protect yourself. All genuine ServiceNow job postings can be found through the ServiceNow Careers site.

    From Fortune. © 2022 Fortune Media IP Limited All rights reserved. Used under license.

    Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, ServiceNow.