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:

• 12+ years of related experience with a Bachelor's degree; or 8 years and a Master's degree; or a PhD with 5 years' 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.

 

ATG23

 

For positions in the Bay Area, we offer a base pay of $184,700 - $323,300, 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.

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