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 CoreLLM team at ServiceNow leads groundbreaking research, engineering, and flawless execution, advancing in the key phases of Large Language Models including data curation, training, and evaluation. Our goal is to consistently enhance and improve ServiceNow's signature model, NOWLLM, by incorporating innovative features and optimising efficiency, establishing new benchmarks for large-scale AI systems.

This model (NOWLLM) is consumed across various Business Units (BUs) within ServiceNow to power a wide range of BU-specific use cases, enabling teams to solve complex problems and deliver tailored solutions that accelerate innovation and efficiency across the platform.

About the Role
A crucial element in advancing Large Language Models (LLMs) is developing and leveraging high-quality datasets. Synthetic data has become a promising avenue for creating such datasets. We are looking for Research Engineers/Scientists to help generate use case specific synthetic data, conduct research on its strengths and limitations, and use it to train the cutting-edge models.

The ideal candidates will possess a strong technical foundation and a comprehensive understanding of LLM frameworks. Hands on experience in applied machine learning is required, with familiarity in synthetic data being advantageous but not essential. We are seeking individuals who excel in problem-solving, whether it's crafting innovative solutions, analysing datasets, refining baselines, designing evaluations, or performing detailed scientific research.

Key Responsibilities
Develop and generate various types of synthetic data for model training.
Conducting experiments to assess the quality of synthetic data.
Train models using the curated dataset.
Design comprehensive evaluation metrics to measure the effectiveness model's performance, including accuracy, relevance, generalisation ability, and robustness.
Hands on experience in hosting and optimising LLM models on Triton Inference Server, ensuring efficient model deployment while meeting performance standards and business requirements.

Qualifications

To be successful in this role you have:

• 5+ years of experience working in Machine Learning and AI Projects.
• Proficiency in Python and machine learning frameworks such as PyTorch.
• Experience working with machine learning, deep learning, and LLM-related infrastructure.
• Experience in training transformer-based language models and their variants (T5, BART, BERT etc)
• Experience in using GPUs to train deep learning models
• Good knowledge of solving industrial problems using deep learning models with NLP related use-cases
• Experience in reading papers and implementing algorithms described in papers.
• An advanced degree in computer science (MS/PhD) with a major in Natural Language Processing.

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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