ServiceNow

Staff Machine Learning Engineer - VoIP Infrastructure

Work from home

Remote role where the employee must remain based in a particular country.

United States only

From the listing details: Source listing states candidate location: "Dallas, Texas, United States, Dallas, Texas, us, Remote"

Employer listed it 12 days ago · Added 10 days ago

First listed 12 days ago and still open.

Salary

$176,100 to $308,200

Location

United States only

Timezone

US East

Contract

Full-time

Experience

Lead

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours: Not mentioned in the advert
Where you can work from: 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.
Contract: Not mentioned in the advert
Experience asked for: 4+ years of experience operating highly available distributed workloads on Kubernetes following a DevOps approach.
Pay: For positions in this location, we offer a base pay of $176,100 - $308,200 , plus equity (when applicable), variable/incentive compensation and benefits.

Remote flexibility

Work from home

This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.

What the employer says

Source listing states candidate location: "Dallas, Texas, United States, Dallas, Texas, us, Remote"

What Nomaders makes of it

Residency required in United States
Payroll and tax are likely handled in that country only

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Questions worth asking: Nomaders interpretation

The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

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.

As a Staff Machine Learning Engineer - VoIP Infrastructure you will: 

Contribute to the design, development and implementation of VoIP infrastructure, telephony platforms, and observability features that power AI-driven voice workloads  

Collaborate with engineering, Product, and infrastructure teams to ensure our voice and AI platforms perform efficiently, scale reliably, and integrate seamlessly across SIP/RTP, Kamailio, RTPEngine, and related telecom systems.  

Contribute to the continuous improvement of the SRE practice by turning operational telephony and AI workload use cases into requirements for software tooling.  

Contribute to the execution of deployment and support activities for VoIP systems and AI/ML developers operating in production voice environments.  

Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.).  

Work with product owners to understand detailed requirements and own your code from design, implementation, test automation, and delivery — spanning both telephony infrastructure and LLM integration layers.  

Experience integrating LLMs into voice platforms and real-time communication systems.  

Be a mentor for colleagues and help promote knowledge-sharing across telecom and AI engineering disciplines.  

To be successful in this role you have: 

Hands-on experience building VoIP systems using SIP/RTP protocols;    

Practical knowledge of Kamailio, RTPEngine, FreeSWITCH, SBCs, and PSTN systems (or similar);  

Working knowledge of PSTN infrastructure and telecom protocols;  

Experience integrating applications on top of LLMs (using existing models, not building them);  

Experience in prompt engineering and developing LLM based features   

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.   

Working experience building distributed systems with cloud-native software;   

Experience with software-defined networking, infrastructure as code and configuration management;  

Experience with DevOps tooling  (e.g. Helm / Ansible / Kubernetes / Prometheus /Splunk/ GitLab CI) is considered an asset  

Experience building software for compliance and security in regulated environments is considered an asset  

Requirements

·Hands-on experience building VoIP systems using SIP/RTP protocols;    
·Practical knowledge of Kamailio, RTPEngine, FreeSWITCH, SBCs, and PSTN systems (or similar);  
·Working knowledge of PSTN infrastructure and telecom protocols;  
·Experience integrating applications on top of LLMs (using existing models, not building them);  
·Experience in prompt engineering and developing LLM based features

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

1Check the flexibility label above, work from home, matches where you plan to live and work.
2Tailor your CV to the role at ServiceNow, mentioning your remote working experience and working hours (US East).
3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 11d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.