Senior Staff Machine Learning Engineer - Site Reliability Engineer
Senior Staff Machine Learning Engineer - Site Reliability Engineer
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1 Vacancy
Job Description
This position requires passing a ServiceNow background screening USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening. Due to Federal requirements only US citizens US naturalized citizens or US Permanent Residents holding a green card will be considered.
PLATO (Platform Engineering and AI Technology Organization) at ServiceNow is a customerfocused innovative group building intelligent software using a variety of technology stacks to enable endtoend industryleading 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 endtoend AIpowered work equal measure we lay the foundations research experiment and derisk AI technologies that unlock new work experiences in the future.
As a Senior Staff Machine Learning Engineer Site Reliability 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 highquality 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 highquality product to ourusers;
- Experience with operating LLMs on NVIDIA GPUs.
- Be a mentor for colleagues andhelp promote knowledgesharing.
Qualifications :
To be successful in this role you have:
- Experience in leveraging or critically thinking about how to integrate AI into work processes decisionmaking or problemsolving. This may include using AIpowered tools automating workflows analyzing AIdriven insights or exploring AIs potential impact on the function or industry.
- Experience with infrastructure and platform operations deployments SRE and DevOps with a continued focus on improving Platform health;
- Experience of operating highlyavailable distributed workloads on Kubernetes following a DevOps approach.
- Development experience with Python GoLang Java or similar languages;
- 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 softwaredefined 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.
Not sure if you meet every qualification We still encourage you to apply! We value inclusivity welcoming candidates from diverse backgrounds including nontraditional paths. Unique experiences enrich our team and the willingness to dream big makes you an exceptional candidate!
For positions in this location we offer a base pay of <
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. Learn more here.
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 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.
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Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
