Associate Machine Learning Engineer Intern

Company Description

At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can’t wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you. 

With more than 7,700+ customers, we serve approximately 85% of the Fortune 500®, and we're proud to be one of FORTUNE 100 Best Companies to Work For® and World's Most Admired Companies™.

Learn more on Life at Now blog and hear from our employees about their experiences working at ServiceNow.

Unsure if you meet all the qualifications of a job description but are deeply excited about the role? We still encourage you to apply! At ServiceNow, we are committed to creating an inclusive environment where all voices are heard, valued, and respected. We welcome all candidates, including individuals from non-traditional, varied backgrounds, that might not come from a typical path connected to this role. We believe skills and experience are transferrable, and the desire to dream big makes for great candidates.

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

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 eng