Senior Research Engineer/Scientist

Posted Yesterday
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Hyderabad, Telangana, IND
Hybrid
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
We're putting AI to work for people.
The Role
Lead research on LLM mid-training, post-training, and agentic architectures. Develop experimentation harnesses, evaluation methodologies, benchmarks, and analysis techniques for reasoning, planning, tool use, reliability, factuality, and safety. Identify model failure patterns, formulate hypotheses, conduct rigorous experiments, and transition successful research into production. Collaborate with engineering and communicate outcomes through publications, patents, or open-source work.
Summary Generated by Built In
Company Description

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

What you'll do

  • Own LLM mid-training and post-training research, including continued pretraining, SFT, preference optimization, and RL; make data-mixture and experimental decisions and determine how training changes affect downstream agent behavior.
  • Research and prototype novel agentic architectures and algorithms across planning, reasoning, memory, skills, tool use, retrieval, and multi-agent collaboration, advancing beyond existing approaches where appropriate.
  • Design and build research harnesses and experimentation methodologies that enable systematic experimentation, trajectory analysis, reproducibility, and rigorous comparison across models, checkpoints, and agent architectures.
  • Define evaluation methodologies and develop novel benchmarks for measuring agent reasoning, planning, tool use, reliability, factuality, and safety; establish rigorous approaches for LLM-as-a-Judge, trajectory-based, and human evaluation.
  • Identify systematic model and agent failure patterns, determine their root causes, and translate those insights into new research directions or improvements in training data, architecture, context, or evaluation.
  • Independently identify research problems, formulate novel hypotheses, and drive projects from research idea to validated prototype and measurable impact, collaborating with engineering to transition successful approaches into production and communicating results through publications, patents, or open-source work.

Qualifications

  • 5+ years of experience in machine learning, deep learning, AI research, or a related field, with demonstrated applied research experience and a track record of independently driving research projects.
  • Hands-on experience with LLM training and post-training, including one or more of continued pretraining, SFT, preference optimization, or RL; experience making training-data decisions and understanding training dynamics and failure modes at scale.
  • Strong Python and advanced PyTorch expertise, with experience modifying models, training pipelines, or research infrastructure to support novel experimentation.
  • Strong practical depth in agentic AI and context engineering, including planning, reasoning, memory, skills, tool use, retrieval, long-context processing, and knowledge grounding.
  • Experience designing evaluation methodologies, not just running evaluations, including benchmark design, trajectory-based evaluation, LLM-as-a-Judge, human evaluation, and the ability to determine which metrics and methodologies are appropriate for a research question.
  • Demonstrated research ownership and impact, with the ability to identify important research questions, develop novel hypotheses, conduct rigorous experiments, and communicate findings and implications effectively to technical researchers, engineers, and executive stakeholders.

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, 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. 

From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Skills Required

  • 5+ years of experience in machine learning, deep learning, AI research, or a related field
  • Demonstrated applied research experience and a record of independently driving research projects
  • Hands-on experience with LLM training and post-training, including continued pretraining, SFT, preference optimization, or reinforcement learning
  • Experience making training-data decisions and understanding training dynamics and failure modes at scale
  • Strong Python skills
  • Advanced PyTorch expertise
  • Experience modifying models, training pipelines, or research infrastructure for novel experimentation
  • Practical depth in agentic AI and context engineering, including planning, reasoning, memory, skills, tool use, retrieval, long-context processing, and knowledge grounding
  • Experience designing evaluation methodologies, benchmarks, trajectory-based evaluation, LLM-as-a-Judge, and human evaluation
  • Ability to identify research questions, develop novel hypotheses, conduct rigorous experiments, and communicate findings effectively

What the Team is Saying

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ServiceNow Compensation & Benefits Highlights

  • Healthcare Strength Healthcare is described as comprehensive, with employer‑verified medical, dental, vision, life and disability coverage plus mental‑health support. Feedback suggests plan breadth and quality are a standout element of the package.
  • Leave & Time Off Breadth Time off options include flexible PTO, paid holidays, paid volunteer time, and additional company “Wellbeing Days.” Feedback suggests employees value the breadth of recharge time available.
  • Equity Value & Accessibility Ownership programs feature a 15%‑discount Employee Stock Purchase Plan alongside role‑based equity (e.g., RSUs) and performance bonuses. Feedback suggests these elements meaningfully lift total compensation beyond base pay.

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The Company
HQ: Santa Clara, CA
29,000 Employees
Year Founded: 2004

What We Do

As the AI platform for business transformation, we're putting AI to work across organizations — freeing people for work that matters. Making old tech work with new tech. Reaching across departments, from the front office to the back office and every office in between. Our ambition? To become the AI defining enterprise software company of the 21st century (or "AI DESCO21C," as we like to call it). With more than 8,400+ customers, we serve approximately 90% of the Fortune 500®, and we're proud to be a Fortune 100 Best Companies to Work For® and World's Most Admired Companies™. Explore your future career with us, visit www.careers.servicenow.com From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Why Work With Us

By joining ServiceNow, you are part of an ambitious team of change-makers who have a restless curiosity and a drive for ingenuity. We're committed to helping our people do their best work and live their best lives so we can fulfill our purpose together. At the fastest-growing enterprise software company, you can grow your career faster.

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ServiceNow Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

At ServiceNow, we lead with flexibility and trust. For some, home is the primary workplace. For those who come into a ServiceNow workplace, you are empowered to make team-guided and individual-led decisions on how and when you use the workplace.

Typical time on-site: Flexible
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