[Remote] Senior Machine Learning Engineer_Linguistics and Speech

Note: The job is a remote job and is open to candidates in USA. ServiceNow is hiring a Senior Machine Learning Engineer in Linguistics and Speech to develop Voice AI applications and strengthen its core Voice Platform. The role owns language support, diagnoses speech failures, evaluates speech technologies, builds linguistic analysis tools, and partners with engineering and product teams.

Responsibilities

• Contribute to the design, development and implementation of Voice AI applications, bringing linguistic and speech expertise to the core Voice Platform (Speech Recognition, Conversation Management, Speech Generation)
• Own language support end to end: add new languages and locales, and maintain language-specific instructions, normalization and pronunciation rules
• Analyze complex speech problems across a diverse set of languages, accents and dialects
• Work with other linguists to map the problem space of specific languages
• Diagnose language and speech failures in production calls, trace them to the responsible component, and drive the fix with the team
• Partner with engineers to identify and solve the right linguistic problems, and contribute code to the features that power the user experience
• Partner with product managers to work with customers, understand their use cases and linguistic challenges, and build for their success
• Design linguistic experiments that drive technology choices (e.g. STT/TTS models and vendors) for Voice AI applications
• Build tooling, with the help of AI, to analyze linguistic problems at scale
• Mentor colleagues and help promote knowledge-sharing across linguistics and Voice AI engineering disciplines

Skills

• A Master's or PhD in Linguistics, Cognitive Science, or a related field
• A specialization in phonetics, acoustics, psycholinguist ics, or cognitive science (applied or interdisciplinary rather than theoretical linguistics)
• 4+ years of experience in large-scale experiment design and quantitative research projects in an industry setting or applied research
• Hands-on experience building Voice AI applications
• Development experience with Python or similar languages
• Deep knowledge of the structure of several languages
• Ability to explain linguistic findings clearly to engineers, product managers, and customers
• A self-starter, outcome-driven mindset and the ability to work with many stakeholders
• The ability to think critically about integrating AI into your work, including hands-on experience with AI tools such as Claude Code, Cursor or Windsurf
• Fluency in a language other than English is a plus
• Experience evaluating speech recognition and speech synthesis systems (considered an asset)
• Experience building applications on top of LLMs, including prompt engineering (considered an asset)

Benefits

• Equity (when applicable)
• Variable/incentive compensation
• Health plans, including flexible spending accounts
• A 401(k) Plan with company match
• ESPP
• Matching donations
• A flexible time away plan
• Family leave programs

Company Overview

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