Staff Machine Learning Engineer

What you get to do in this role:

Please note that this role requires you to be in our Santa Clara office for two days per week. 

PLATO (Platform Engineering and AI Technology Organization) at ServiceNow is a customer-focused innovative group building intelligent software using a variety of technology stacks to enable end-to-end industry-leading work experiences for our customers. We are a group of people deeply invested in the success of our customers that happen to have expertise and knowledge in advanced technologies and software engineering best practices. We are data driven structured committed and we enjoy what we are doing. We prioritize robustness performance and user experience over the technology stack and tools.

We are a group of technology professionals and platform engineers with a dual build and evolve the AI platform and partner with teams to build products and end-to-end AI-powered work equal measure we lay the foundations research experiment and de-risk AI technologies that unlock new work experiences in the future.

As a Staff Machine Learning Engineer you will:

• Contribute to the design development andimplementation of infrastructure platform deployment and observability features that power AI workloads.
• Collaborate with researchers AI engineers and infrastructure teams to ensure our GPU clusters perform efficiently scale well and remain reliable. 
• Contribute to the continuous improvement of the SRE practice by turning operational use cases into requirements for software tooling. 
• Contribute to the execution of deployment and support activities for AI/ML developers; 
• Build high-quality clean scalableand reusable code by enforcing bestpractices around softwareengineering architecture andprocesses (Code Reviews Unittesting etc.); 
• Work with the productowners to understand detailedrequirements and own your codefrom design implementation testautomation and delivery of high-quality product to ourusers; 
• Experience with operating LLMs on NVIDIA GPUs.
• Be a mentor for colleagues andhelp promote knowledge-sharing. 

Qualifications :

To be successful in this role you have:

• Experience in leveraging or critically thinking about how to integrate AI into work processes decision-making or problem-solving. This may include using AI-powered tools automating workflows analyzing AI-driven insights or exploring AIs potential impact on the function or industry.
• Proficient in prompt engineering and developing LLM based features
• Experience with methods of training and fine tuning large language models such as distilation supervised fine-tunning and policy optimization
• Experience in using AI productivity tools such as Cursor Windsurf etc
• Exposure with operating LLMs on NVIDIA GPUs.
• 4 years of development experience with Python GoLang Java or similar languages. 
• 4 years of experience operating highly available distributed workloads on Kubernetes following a DevOps approach.
• Experience with DevOps tooling  (e.g. Helm / Ansible / Kubernetes / Prometheus /Splunk/ GitLab CI); 
• Strong working experience operating distributed systems built on Linux and J2EE; 
• Experience with software-defined networking infrastructure as code and configuration management;
• Experience building software for compliance and security in regulated environments 
• Ability to drive outcome in projects with material technical risk. 
• Asset: 4 years of experience with infrastructure and platform operations deployments SRE and DevOps with a continued focus on improving Platform health; 

For positions in this location we offer a base pay of $173100 - $303000 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.

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 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 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. 2025 Fortune Media IP Limited. All rights reserved. Used under license. 

Remote Work :

No

Employment Type :

Full-time