Senior Applied Research Scientist

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
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 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 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 LLM's as a key AI-first platform offering in ServiceNow's portfolio.
• Collaborate daily with a team of like-minded developers, applied research scientists, product managers and quality engineers to 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:

• 4+ years of related experience with a Bachelor's degree; or 2 years and a Master's degree; or a PhD without experience; or equivalent work experience
• Expertise in Python, OOP, 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.
• Creating and maintaining large-scale data processing pipelines that ensure that data is processed accurately, efficiently, and securely.
• 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 the Bay Area, we offer a base pay of $151,900 - $258,100, 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.
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!
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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