Senior Machine Learning Engineer – Voice & Video AI

Telnyx

. Build the next generation of conversational voice and video AI agents that see, listen, speak, and respond naturally in real time .

Posted 11/2/2026full-timeRemote • Ireland, Netherlands, PolandSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and optimizing conversational AI agents, with a strong focus on speech generation, multimodal models, and real-time interaction. Proficient in deploying and fine-tuning models across diverse languages and specialized domains while ensuring high-quality performance and cost efficiency.

Highest-signal resume keywords

Machine Learning ExpertiseSpeech Generation ExperiencePython ProgrammingPyTorch ProficiencyStreaming Systems Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningSpeech GenerationSpeech-To-Speech SystemsVideo GenerationMultimodal ModelsModel Fine-TuningData PipelinesEvaluation TechniquesBackend DevelopmentFrontend Development

Soft Skills

Problem-SolvingAdaptabilityCollaboration

Tools & Technologies

GPU HardwareAPIsDevelopment HarnessesCoding Agents

Industry Keywords

Conversational AIReal-Time InteractionLatency OptimizationQuality AssuranceMedical Terminology

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Build the next generation of conversational voice and video AI agents that see, listen, speak, and respond naturally in real time
Evaluate, adapt, and deploy speech-to-speech and full-duplex video models, including expressive avatars and synchronized audiovisual generation
Improve turn-taking, interruption handling, and responses to verbal and visual cues
Track emerging research and open-source releases and benchmark promising approaches
Fine-tune models for languages, accents, and specialized domains such as medical terminology
Build data and evaluation pipelines demonstrating improvements in realistic conversations
Train and deploy models on GPU hardware across Telnyx’s global infrastructure
Optimize streaming inference, GPU utilization, latency, and serving cost while maintaining quality, synchronization, and reliability
Own features from model experiments through backend services, APIs, data models, and customer portal interfaces
Implement, test, debug, and review changes across the stack using coding agents and development harnesses

Requirements

What you’ll need

6+ years in machine learning or related engineering
Production experience and depth in speech generation, speech-to-speech systems, video generation, or multimodal models
Strong Python and PyTorch skills
Hands-on experience adapting pretrained models
Experience with streaming or latency-sensitive systems
Experience with rigorous evaluation and balancing model quality, responsiveness, reliability, and cost
Ability to make backend and frontend changes
Ability to navigate unfamiliar repositories and follow features through to a working customer experience
Willingness to work with coding agents and development harnesses
Strong engineering fundamentals to verify and take responsibility for coding-agent output

Benefits

Comp & perks

Access to state-of-the-art hardware
Opportunity to work with AI, real-time communications, and infrastructure
Global deployment footprint
Continuous learning and growth environment
Opportunity to own models and products and bring advances directly to customers