ServiceNow: Senior Research Engineering Scientist — Santa Clara, California, United States

About ServiceNow

ServiceNow develops an enterprise software platform bringing together data, workflows and AI for business operations. Its employer introduction traces the business to automating a repetitive workplace task and describes a continuing focus on freeing people from routine work. The platform is intended to connect technology with how organisations carry out their processes. This makes workflow automation and the use of information in everyday business activity central themes, rather than a product aimed at only one industry.

The position and its setting

ServiceNow lists Senior Research Engineering Scientist in Santa Clara, California, United States, under reference JB0076491. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Engineering, Infrastructure and Operations
• Employment type: Full-time
• Employer listing date: 22 October 2026
• Brands: ServiceNow

Responsibilities and work described

• 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

Essential requirements and candidate background

• 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: synthetic data generation for training and evaluation
• Experience: data curation at scale including deduplication filtering and data mixture design
• Familiarity: a range of transformer architectures including decoder only or autoregressive encoder decoder and mixture of experts
• Expert level Python with OOP and design pattern fundamentals
• 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 experience and additional strengths

• 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: 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: 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

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• Work arrangement: On-site
• Advertised location: Santa Clara, California, United States

Benefits mentioned by the employer

• 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

Employer details to confirm

• The employer’s seniority category and its stated experience requirements do not agree. Follow the role-specific requirements above rather than assuming this is a fresher opening.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Senior Research Engineering Scientist vacancy is not an offer for reference JB0076491; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to ServiceNow

Applications follow the official employer page linked below.

Open the official ServiceNow posting below and match the title and reference JB0076491.

Compare your qualifications and experience with the essential conditions for the Santa Clara, California, United States position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• AI/ML
• LLMs
• AI
• training
• sales