Senior Research Engineering Scientist

About the Position

Join our Core AI Model Training team as a Senior Research Engineering Scientist to develop and optimize large language models for enterprise use. 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.

Responsibilities

• Confront real-world challenges and datasets using your AI and ML expertise 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.

Requirements

• 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 Have

• 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.

We Offer

• Base pay of $185,500 - $315,400 per year, plus equity (when applicable), variable/incentive compensation, and benefits.
• Health plans, including flexible spending accounts.
• 401(k) Plan with company match.
• ESPP, matching donations.
• Flexible time away plan and family leave programs.
• Competitive On Target Earnings (OTE) incentive compensation structure for sales positions.

About the Company

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow-helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

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 [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.