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Sr. Applied Research Scientist/Engineer Intern

Remote: 
Full Remote
Contract: 
Salary: 
141 - 141K yearly
Experience: 
Entry-level / graduate
Work from: 
California (USA), United States

Offer summary

Qualifications:

Currently pursuing a PhD in Computer Science or relevant field, Publication record in top AI conferences, Experience with instruction fine tuning techniques, Familiarity with transformer architectures.

Key responsabilities:

  • Apply AI/ML expertise to real-world challenges
  • Research and propose advanced new techniques
  • Design, implement, and scale LLMs
  • Collaborate with cross-functional teams to produce quality research
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ServiceNow Information Technology & Services Large https://www.servicenow.com/
10001 Employees
HQ: Santa Clara
See more ServiceNow offers

Job description

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. 

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Required profile

Experience

Level of experience: Entry-level / graduate
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Research
  • Problem Solving
  • Collaboration
  • Creativity

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