Senior Applied Research Scientist

Summary

Join ServiceNow's Advanced Technology Group (ATG) and play a pivotal role in building next-generation Large Language Models (LLMs) for enterprise language generation. You will leverage your AI/ML expertise to solve real-world challenges, research and implement models, and contribute to the design and scaling of LLMs. Collaborate with a team of developers, researchers, and product managers to deliver high-quality solutions. This role requires expertise in Python, OOP, design patterns, and experience with instruction fine-tuning. ServiceNow offers competitive compensation, benefits including health plans, 401(k), ESPP, and flexible time away, and a commitment to inclusivity.

Requirements

• 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 with Instruction fine tuning and other fine tuning techniques is a must
• Experience with various transformer architectures (auto-regressive ,sequence-to-sequence etc)

Responsibilities

• 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
• 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

Preferred Qualifications

• Experience in Pretraining of an LLM is preferred but not mandatory
• Experience with Reinforcement learning is preferred but not mandatory

Benefits

• 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
• Health plans, including flexible spending accounts
• A 401(k) Plan with company match
• ESPP
• Matching donations
• A flexible time away plan
• Family leave programs (subject to eligibility requirements)