Applied Research Scientist – Generative AI Full Time

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Job Description

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 processes/techniques to gather/create data sets to evaluate the models yourself.
• Design and fine tune LLM prompts to implement product use cases for Customer & Industry Workflows (CIWF).
• 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

Qualifications

To be successful in this role you have:

• A minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or equivalent work experience.
• Expertise in Python, Notebook, OOP, Design Patterns.
• Experience with RAG and prompt engineering 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 $159,300 – $278,700, 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 [redacted] 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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