PhD Only - Research Scientist Intern

Santa Clara, CALIFORNIA, United States

ServiceNow

ServiceNow allows employees to work the way they want to, not how software dictates they have to. And customers can get what they need, when they need it.

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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

The Advanced Technology Group (ATG) at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest advanced technologies to enable end-to-end, industry-leading work experiences for customers. We are a group of researchers, applied scientists, engineers, and product managers with a dual mission. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.

You will play a major part in driving significant innovations for our 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 driving new innovations and techniques that can help leapfrog existing methods and create next generation models competing with the very best. This will help power an amazing range of solutions to 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 PhD or advanced Masters degree in Computer Science or relevant field. (Graduating Dec 2024 or later)
  • 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 fine tuning techniques is a must.
  • Experience with Reinforcement learning is preferred but not mandatory.
  • Experience with various transformer architectures (auto-regressive ,sequence-to-sequence etc)
  • Stay in touch with latest advances, research papers.

Expected Outcomes:

  • Publication of work at top conference.
  • Patent (if applicable).
  • Working proof of concepts.

For positions in the Bay Area, 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 (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.

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Tags: Architecture Computer Science EMNLP ICLR ICML LLMs Machine Learning NeurIPS PhD Reinforcement Learning Research

Perks/benefits: 401(k) matching Career development Competitive pay Conferences Equity Flex hours Health care

Region: North America
Country: United States
Job stats:  26  3  0

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