Senior ML Engineer, Voice Agents - Remote, Equity

Jobgether; Netherlands; Hybrid; EUR 110,000 - 160,000; Full time

Benefits offered by this job

Remote work options

Health, dental, and vision benefits

Parental leave and flexible PTO

Company equity

Conferences, training and education

Job summary

Jobgether is seeking a Senior Machine Learning Engineer for our partner company in the Netherlands to own substantial parts of an open voice-agent stack. You will drive architecture for a production-ready voice platform, integrating ASR, TTS, and end-to-end speech models while maintaining reliability and scalable APIs.

You will lead realtime GPU inference serving, streaming protocols, observability, and cross-team collaboration to deliver robust voice agents for developers and robotics

Qualifications

• Senior-level engineering with ability to own a substantial architectural area.
• Experience building developer-facing infrastructure in AI or ML environments.
• Strong open-source contributions to a Python library and asynchronous Python proficiency.
• Solid understanding of distributed systems and failure modes.
• Proven shipping of real-time tech involving streaming, WebSockets/WebRTC, audio or live inference.
• Hands-on production experience with LLMs or multimodal models.
• Excellent written communication and collaborative skills, publicly.
• Genuine interest in voice technology and conversational AI.

Responsibilities

• Take architectural ownership of major parts of the open-source speech-to-speech library and pipelines.
• Integrate new ASR, TTS, and end-to-end speech models while keeping clean abstractions.
• Review contributions, triage issues, manage releases, grow the contributor community.
• Design developer API and streaming protocol for the voice platform (WebSockets, session lifecycle, authentication).
• Build and operate serving infra for realtime GPU inference with autoscaling and observability.
• Collaborate with hub and inference teams to enable easy integration into products and demos.
• Move platform from prototype to production with load testing and SLOs, degrade gracefully if needed.
• Create docs, examples, and templates for quick onboarding to running voice agents.
• Support deployments including robotics fleet and ongoing public tech content.
• Contribute to the wider ML/AI community through talks and demos.

Skills

Open-source ownership

Asynchronous Python

Distributed systems

Realtime streaming

LLMs / multimodal models

Dev infra for AI

Public collaboration

Voice technology

Tools

WebSockets

WebRTC

GPU inference

Job description

Jobgether is seeking a Senior Machine Learning Engineer for our partner company in the Netherlands to own substantial parts of an open voice-agent stack. You will drive architecture for a production-ready voice platform, integrating ASR, TTS, and end-to-end speech models while maintaining reliability and scalable APIs.

You will lead realtime GPU inference serving, streaming protocols, observability, and cross-team collaboration to deliver robust voice agents for developers and robotics