Senior Machine Learning Engineer – Voice & Video AI

🔥 1 minute ago

🌐 Ireland, Netherlands, +1 more countries – Remote

🇮🇪 Ireland – Remote 🇳🇱 Netherlands – Remote 🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 11%

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Telnyx

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2015

💼 Consulting

📦 Logistics

📡 Telecommunications

💰 $2.1M Seed Round on 2014-08

Consulting • Logistics • Telecommunications

Telnyx is a modular, cloud-native platform that enables the creation of custom communications and connectivity applications. It offers a comprehensive suite of APIs accessible through intuitive SDKs and web tools. Telnyx provides AI-powered connectivity solutions, programmable networking, IoT SIM cards, and private global networks for high-quality communication services. Their platform is designed to improve customer experience through AI-powered voice solutions and offers low-latency AI services using GPU-powered infrastructure. Telnyx supports various industries by providing tools for building secure, scalable, and innovative communication and connectivity solutions worldwide.

📋 Description

• 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

• 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

• 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

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