Staff Machine Learning Engineer- Voice AI
At a glance
Senior Machine Learning Engineering role at ServiceNow. Hyderabad · full-time.
Pay not stated Machine Learning Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Help shape and build the voice platform, covering audio intake, conversation handling, speech output, model connections and testing
- Work with product managers and customers to understand voice use cases and technical obstacles, then build solutions for them
- Deploy voice AI systems across regions and data centers, supporting large operational workloads
- Write reusable code and uphold engineering practices through reviews, testing and sound architecture
- Turn operational needs into software tools that improve SRE practices, while mentoring colleagues across voice engineering
What you bring
- At least eight years of relevant industry experience, including hands-on work building voice AI systems at operational scale
- Around four years building applications that connect to LLMs, rather than training the models
- At least six years developing in Python, Golang, Java or a comparable language, plus two years building agents and LLM-based experiences
- You have operated highly available distributed services on Kubernetes using a DevOps approach
Who this fits
This senior engineering role suits someone who has built and operated large-scale voice AI platforms and can mentor peers. The position is based onsite in Hyderabad.
From the employer
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.
What you get to do in this role:
The Advanced Technology Group (ATG) at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest advanced technologies to enable end-to-end, industry-leading work experiences for customers. We are a group of researchers, applied scientists, engineers, and product managers with a dual mission. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.
You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to require a technically knowledgeable user to produce even simple results. We are taking a completely fresh approach with the expectation that any user, regardless of technical knowledge, can use the AI/ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 5k+ enterprise customers around the world.
- Contribute to the design, development and implementation of the core Voice Platform (Audio Acquisition, Conversation Management, Speech Generation, integration with API and self-hosted Voice AI models, Voice Harness)
- Partner with product managers to work with customers, understand their use cases and technology challenges, and build for their success
- Build and deploy large Voice AI distributed systems at scale spanning multiple regions and datacenters
- Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.)
- Contribute to the continuous improvement of the SRE practice by turning operational use cases into requirements for software tooling
- Be a mentor for colleagues and help promote knowledge-sharing across Voice AI engineering disciplines
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 AI's potential impact on the function or industry.
- 8+ year of relevant industry experience
- Hands-on experience building distributed Voice AI systems with a large operational scale
- ~4+ years building LLM-based applications (integrating models, not training)
- 6+ years of development experience with Python, Golang, Java, or similar languages.
- 2+ years of experience building agents (prompt engineering) and developing LLM-based experiences
- Working experience operating highly available distributed workloads on Kubernetes following a DevOps approach.
- Experience building software for compliance and security in regulated environments is considered an asset
- A proven track record of architecting and shipping distributed Voice AI or voice platform systems (real-time audio, STT/TTS, telephony or WebRTC) at large operational scale
- Critically thinking around AI integrations for work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
- Experience building with AI tools such as Claude Code, Cursor, Windsurf
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 globaltalentss@servicenow.com 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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