Job description

The Core AI Model Training team leads research and engineering across the full lifecycle of large language model development for enterprise use cases including data curation pretraining fine tuning and evaluation. Our goal is to continuously improve our custom enterprise models by incorporating novel techniques and optimizing training and inference efficiency establishing a differentiated advantage for AI applications across the platform. These models are consumed across multiple business units to power a wide range of use cases enabling teams to solve complex problems and deliver tailored solutions. You'll help build the next generation of enterprise language models that bring AI experiences into our customers' day to day work serving more than 9000 enterprise customers worldwide. We're just getting started with our early adopter customers and we need your help building an amazing range of solutions. What you get to do in this role: • Confronted with real world challenges and datasets you will use your AI and ML expertise and creativity to apply existing methods and develop new ones to solve problems in a practical and scalable way. • Research propose implement train and evaluate models and techniques end to end. • Build and maintain training pipelines and evaluation harnesses that make results reproducible and progress measurable. • Collaborate daily with research scientists engineers and product managers to ship high quality high impact work. • Own your work from design through implementation testing and delivery partnering with product owners to translate requirements into results. • Expertise in LLM post training including supervised fine tuning and distillation. • Expertise in reinforcement learning for LLMs including PPO GRPO DPO and reward modeling. • Hands on experience with training frameworks and distributed and large scale training including FSDP DeepSpeed and Megatron as well as parallelism strategies such as tensor pipeline expert and data parallelism. • Experience with synthetic data generation for training and evaluation. • Experience with data curation at scale including deduplication filtering and data mixture design. • Familiarity with a range of transformer architectures including decoder only or autoregressive encoder decoder and mixture of experts. • Expert level Python with strong OOP and design pattern fundamentals. • Ability to read current research and rapidly prototype and experiment with new ideas. • 3 or more years of relevant experience with a Bachelor's degree 3 or more years with a Master's degree a PhD or equivalent experience. Preferred Qualifications • Grounding in evaluation and benchmarking including building evaluation harnesses contamination checks and custom enterprise benchmarks. • Pretraining experience or an end to end perspective across pretraining and post training with an understanding of how choices in one stage propagate to the other. • Familiarity with inference and serving technologies such as vLLM or SGLang quantization and KV cache tradeoffs. • Publications at top tier venues such as ICLR NeurIPS ICML ACL EMNLP or AAAI. • Fluency with AI productivity tools such as Claude Code and Codex with a track record of thoughtfully integrating AI into engineering and research workflows. For positions in this location, we offer a base pay of $185,500 - $315,400 , 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. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. 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 and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, 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 globaltalentss@servicenow.com 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. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Requirements

Must-haves

What you get to do in this role:
Confronted with real world challenges and datasets you will use your AI and ML expertise and creativity to apply existing methods and develop new ones to solve problems in a practical and scalable way.
Research propose implement train and evaluate models and techniques end to end.
Build and maintain training pipelines and evaluation harnesses that make results reproducible and progress measurable.
Collaborate daily with research scientists engineers and product managers to ship high quality high impact work.
Own your work from design through implementation testing and delivery partnering with product owners to translate requirements into results.
Expertise in LLM post training including supervised fine tuning and distillation.
Expertise in reinforcement learning for LLMs including PPO GRPO DPO and reward modeling.
Hands on experience with training frameworks and distributed and large scale training including FSDP DeepSpeed and Megatron as well as parallelism strategies such as tensor pipeline expert and data parallelism.
Experience with synthetic data generation for training and evaluation.
Experience with data curation at scale including deduplication filtering and data mixture design.
Familiarity with a range of transformer architectures including decoder only or autoregressive encoder decoder and mixture of experts.
Expert level Python with strong OOP and design pattern fundamentals.
Ability to read current research and rapidly prototype and experiment with new ideas.
3 or more years of relevant experience with a Bachelor's degree 3 or more years with a Master's degree a PhD or equivalent experience.

Nice-to-haves

Grounding in evaluation and benchmarking including building evaluation harnesses contamination checks and custom enterprise benchmarks.
Pretraining experience or an end to end perspective across pretraining and post training with an understanding of how choices in one stage propagate to the other.
Familiarity with inference and serving technologies such as vLLM or SGLang quantization and KV cache tradeoffs.
Publications at top tier venues such as ICLR NeurIPS ICML ACL EMNLP or AAAI.
Fluency with AI productivity tools such as Claude Code and Codex with a track record of thoughtfully integrating AI into engineering and research workflows.
Work Personas

Application prep

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aimlllmpython

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Benefits

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401(K)