Staff Applied Research Scientist
Staff Applied Research Scientist
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1 Vacancy
Job Description
The CoreLLM team at ServiceNow leads groundbreaking research engineering building ServiceNows signature models (NOWLLM). The effort involves all phases of Large Language Models development including data curation training and evaluation. Our goal is to consistently enhance and improve NOWLLM models by incorporating innovative features and optimizing efficiency establishing a differentiated advantage for applications on the ServiceNow Platform.
These models (NOWLLM) are consumed across various Business Units (BUs) within ServiceNow to power a wide range of BU-specific use cases enabling teams to solve complex problems and deliver tailored solutions that accelerate innovation and efficiency across the platform.
You will play a major part in building next generation Large Language Models(LLMs) 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 and making available 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 appropriate models/techniques as well as implement train and evaluate the models yourself.
- Contribute to the design implementation and scaling of LLMs as a key AI-first platform offering in ServiceNows portfolio.
- Collaborate daily with a team of like-minded developers applied research scientists product managers and quality engineersto produce quality software.
- Work with product owners to understand detailed requirements and own your code from design implementation testing and delivery of high-quality & high-impact solutions to our users.
Qualifications :
To be successful in this role you have:
- Expert in prompt engineering and developing LLM based features
- Experience with methods of training and fine tuning large language models such as distilation supervised fine-tunning and policy optimization
- Experience in using AI productivity tools such as Cursor Windsurf etc
- Experience in leveraging or critically thinking about how to integrate AI into work processes decision-making or problem-solving. This may include using AI-powered tools automating workflows analyzing AI-driven insights or exploring AIs potential impact on the function or industry.
- 6 years of relevant experience with a Bachelors degree; or 4 years with a Masters degree; or a PhD with no experience; or equivalent work experience.
- Expertise in PythonOOP Design Patterns.
- 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)
- Ability to read latest papers and experiment with the ideas.
- Good publication record in top tier conferences such as ICLR NeurIPS ICML ACL EMNLP AAAI etc.
- Communicating your research findings to both technical and non-technical stakeholders and working to ensure that the benefits and limitations of LLMs are clearly understood across the organization.
For positions in this location we offer a base pay of $173100 - $303000 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 and their assigned work location. 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 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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Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
