Job detail for Senior Research Engineer/Scientist

Senior Research Engineer/Scientist

ServiceNow

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Company Description

It all started under the San Diego sun in California in 2004, when a visionary engineer, Fred Luddy, saw the potential to transform the way we work. 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 enable organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us in pursuing our goal of making the world better for everyone.

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.

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: 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 9,000+ 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/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

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 9K+ 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/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

Qualifications

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/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/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.
6+ years of relevant experience with a Bachelor's degree, 4+ 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, the 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

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/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/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.
6+ years of relevant experience with a Bachelor's degree, 4+ 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

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 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, 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 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.

Work Personas

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

Export Control Regulations

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