ServiceNow Logo

ServiceNow

Sr. Applied Research Scientist/Engineer Intern

Posted 2 Days Ago
Be an Early Applicant
Hybrid
Santa Clara, CA
Internship
Hybrid
Santa Clara, CA
Internship
The role involves developing Large Language Models (LLMs) to enhance AI capabilities in enterprise applications. Key responsibilities include researching new techniques, collaborating with other researchers, and contributing to the design and implementation of LLMs.
The summary above was generated by AI

Company Description
It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
Job Description
We are the Core LLM Platform Team. On this team, you will play a major part in building next generation Large Language Models (LLM's) for Enterprise Language Generation that will power NOW platform with AI experiences in day to day work of our customers. We are just getting started with our early-adopter customers and we need your help in building an amazing Now LLM, that can help solve various use cases for our 9k+ enterprise customers around the world.
What you get to do in this role:
• Confronted with real-world challenges and datasets, you will need to use your AI/ML expertise and creativity to apply existing methods and develop new ones to solve these problems in a practical and scalable way.
• Research and propose advanced new techniques, that can help leapfrog existing ones. Work with other researchers and Applied Research scientists to validate and drive these innovations, eventually resulting in vastly improved models.
• Contribute to the design, implementation, and scaling of LLM's as a key AI-first platform offering in ServiceNow's portfolio.
• Collaborate with a team of like-minded developers, research scientists, product managers and engineers to produce top quality research.
Qualifications
To be successful in this role you have:
Currently pursing a PhD in Computer Science or relevant field, and expecting to graduate no earlier than December 2025
• Publication record in top conferences (for e.g., NeurIPS, ICML, ICLR, CVPR, ACL, EMNLP)
• Experience in Pretraining of an LLM is preferred but not mandatory
• Experience with Instruction fine tuning and other finetuning techniques is a must.
• Experience with Reinforcement learning is preferred but not mandatory.
• Experience with various transformer architectures (auto-regressive, sequence-to-sequence etc)
• Stayed in touch with latest advances, research papers.
Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!
For positions in this location, we offer a base pay of $73.56/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. 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. Learn more here .
Equal Opportunity Employer
ServiceNow is an equal 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. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license.

Top Skills

AI
Ml

ServiceNow Toronto, Ontario, CAN Office

161 Bay St., Toronto, Ontario, Canada

Similar Jobs at ServiceNow

Be an Early Applicant
Yesterday
Santa Clara, CA, USA
Hybrid
26,000 Employees
Internship
26,000 Employees
Internship
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The Industrial/Organizational Psychology Intern at ServiceNow will engage in various Global People functions, participate in executive speaker series, career development workshops, and team building activities. Interns will gain hands-on experience in HR, talent acquisition, and total rewards while contributing to diversity and inclusion initiatives.
2 Days Ago
Santa Clara, CA, USA
Hybrid
26,000 Employees
Internship
26,000 Employees
Internship
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
As an ML Data Linguist Intern, you will develop and evaluate synthetic data, annotate large text volumes, preprocess data, and improve AI models while collaborating with linguists and data scientists. You will work on natural language understanding and contribute to AI projects enhancing generative language applications.
Be an Early Applicant
2 Days Ago
Santa Clara, CA, USA
Hybrid
26,000 Employees
Mid level
26,000 Employees
Mid level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The Product & Solutions Marketing Specialist Intern will define the value proposition of ServiceNow products, create compelling content across various platforms, and support go-to-market teams to optimize product-market fit. Key responsibilities include writing value-based narratives, enabling sellers with product innovations, and developing cross-organizational use cases for products.

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account