Full-Time Senior Applied Research Scientist

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: building and evolving the AI platform, and partnering with teams to build products and end-to-end AI-powered work experiences. 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 (LLMs) for Enterprise Language Generation that will power the NOW platform with AI experiences in the daily work of our customers.

What you get to do:

• Confronted with real-world challenges and datasets, 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, implement, train, and evaluate the models.
• Contribute to the design, implementation, and scaling of LLMs 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.

To be successful:

• 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 accurate, efficient, and secure data processing.
• Communicating research findings to both technical and non-technical stakeholders, ensuring the benefits and limitations of LLMs are clearly understood.

Not sure if you meet every qualification? Apply anyway! We value inclusivity and diverse backgrounds.

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