Principal Research Scientist/Engineer
Principal Research Scientist/Engineer
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1 Vacancy
Job Description
Our group at ServiceNow is a customer-focused innovation group building intelligent softwareandsmartuser experiencesusing existing and latest advancedtechnologies to enable end-to-end industry-leading work experiences for are a group of researchers applied scientists engineers and product managers with a dual build and evolve the AI platform and partner with teams to build products and end-to-end AI-powered work 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 pivotal role in leading the development of operational solutions to run next-generation Large Language Models (LLMs) for Enterprise Language Generation empowering the NOW platform with AI experiences in the day-to-day work of our customers. With a focus on early-adopter customers you will lead the creation and availability of an exceptional range of solutions to our 9k enterprise customers worldwide.
What you get to do in this role:
- Contribute to the design implementation and operating LLMs at scale in a hybrid cloud environment to support ServiceNows portfolio of products.
- Collaborate daily with a team of like-minded developers applied research scientists product managers and quality engineers to deliver high-quality software.
- Work closely with product owners to understand detailed requirements and take ownership of the entire software development cycle from design to implementation testing and delivery of high-quality and high-impact solutions to our users.
- Utilize your experience with distributed systems to build scalable and performant shared services that support the development and deployment of AI models and applications.
- Confronted with real-world challenges and datasets you will need to use your AI/ML expertise and creativity to apply existing methods or collaborate to develop new ones to solve these problems in a practical and scalable way.
Qualifications :
To be successful in this role you have:
- Prompt Engineering: proficient in prompt engineering and developing LLM based features
- Fine tuning: experience with methods of training and fine tuning large language models such as distilation supervised fine-tunning and policy optimization
- AI productivity tools: 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.
- 15 years of related experience with a Bachelors degree; or 12 years and a Masters degree; or a PhD with 8 years of experience; or equivalent work experience.
- Experience in Instruction fine tuning and other fine tuning methodologies preferred.
- Strong problem-solving skills and the ability to adapt to evolving requirements and technologies in the AI field.
- Solid Machine Learning knowledge and hands-on experience.
- Experience with LLMs
- Experience with Search or Recommendation systems preferred
- Demonstrated experience in creating and maintaining large-scale data processing pipelines ensuring accurate efficient and secure data processing.
- Proficiency in infrastructure design and implementation with experience in building scalable and performant ML services.
- Communicating to both technical and non-technical stakeholders and working to ensure that the benefits and limitations of GenAI technologies are clearly understood across the organization.
For positions in this location we offer a base pay of $236000 - $413000 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 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
