Senior Machine Learning Engineer, Telnyx
Speech Synthesis
Full-stack platform for real-time conversational AI
Open for applications
Full-stack platform for real-time conversational AI
201-500 employees
Open for applications
201-500 employees
Company mission
To solve real-world problems, modernize the antiquated and automate the manual.
Role
Who you are
- 6+ years of experience in machine learning or speech systems engineering
- Hands-on expertise with neural TTS, speech synthesis, or adjacent areas (ASR, voice cloning, multilingual modeling)
- You’ve obsessed over one or two hard problems, whether it’s building multilingual TTS from noisy data, teaching LLMs to speak, designing self-supervised audio encoders, or making diffusion models run in real time
- Experience with LLM-based approaches to speech synthesis or prosody control
- Experience leading small teams and defining technical direction or team executables
- Production mindset: You build systems that run fast, stay stable, and are easy to maintain
What the job involves
- As a Senior ML Engineer (Speech Synthesis), you’ll be a founding member of the team building Telnyx’s next-generation speech synthesis systems
- This is a greenfield opportunity — you’ll define the stack, architecture, and best practices for training and deploying state-of-the-art multilingual text-to-speech (TTS) models that power our voice AI agents
- You’ll build everything from distributed training pipelines to inference services that generate ultra-low-latency, lifelike voices across dozens of languages
- Your work will bridge research and production — shaping how millions of people experience real-time conversational AI
- Own the stack from day one: Design and implement the ML training and inference pipelines for multilingual speech synthesis
- Low-latency TTS: Engineer systems optimized for real-time, streaming speech generation with sub-100ms response targets
- Train cutting-edge models: Build and fine-tune multilingual TTS systems using modern architectures — including LLM-based, diffusion, and flow-matching approaches
- Massive-scale data processing: Develop pipelines for ingesting, aligning, and normalizing text, audio, and phonetic data across dozens of languages
- Experimentation at scale: Run distributed training across multi-node GPU clusters, tracking results and iterating quickly
- Cross-functional collaboration: Work with infrastructure and voice platform teams to deploy models that scale globally
- Research meets production: Evaluate emerging techniques (LLM-guided synthesis, zero/few-shot voice cloning, full-duplex modeling) and bring them to life in production-grade systems
Our take
As businesses increasingly look to integrate AI into customer interactions, one major challenge has emerged: the underlying infrastructure isn't build for real-time performance. Many companies rely on a patchwork of providers for voice, messaging, and AI, which can introduce delays, complexity and reliability issues. This becomes especially problematic for use cases like voice assistants or automated calls, where even slight latency can disrupt the experience.
Telnyx offers a full-stack platform that combines telephony, networking and AI infrastructure into a single system. In simple terms, it gives businesses everything they need to build and run real-time, AI-powered voice applications without stitching together multiple vendors. Its platform supports things like AI voice agents, programmable calls and messaging, all designed to work quickly and reliably across global networks.
The company now serves over 14,000 customers, processes millions of API requests daily and operates infrastructure across more than 60 countries. Recent recognition from Frost & Sullivan and partnerships likes it deal with Telarus point to growing enterprise adoption too. And as more businesses move toward AI-driven communications, Telnyx is positioning itself as the underlying infrastructure layer that makes those experiences fast and dependable.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-28% employee growth in 12 months
Company
Funding (1 round)
Sep 2014
$1m
SEED
Total funding: $1m
Company benefits
- Flexible, global team: Reaching our full potential means hiring people from all walks of life. Telnyx allows employees to work from home, and we offer in-person options for team members in Amsterdam, Chicago, Dublin and Warsaw
- Modern life, modern accommodations: Working in the business of innovation means offering support to our team to help them stay innovative. Telnyx offers unlimited personal time off to help employees recharge
- Benefits based on location: With team members across the globe, Telnyx offers competitive perks and benefits based on location. Employees in Ireland, the UK, and the US are eligible for healthcare benefits, and US employees also have access to 401(k) matching
Company HQ
Civic District, Austin, TX
Leadership
David Casem
(Co-Founder & CEO)Co-founded Telnyx in 2009 and has served as the CEO since.
Ian Reither
(COO)Prior to joining Telnyx as COO in 2014, Ian spent over 3 years at Trexin Consulting as a Principle Consultant.
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