Job Description

We're on a mission to protect voice data in the age of AI — tackling challenges like voice anonymization, deepfake detection, and adversarial robustness. Our real-time speech models have already processed over a million minutes in production, powering applications that demand privacy, security, and performance.

As a Junior ML Engineer (Speech-Focused), you’ll help us build and scale the pipelines that make our speech models work. From dataset preparation to model deployment. You’ll collaborate closely with our researchers and engineers to make sure experiments run smoothly and efficiently. We’re a small, fast-moving team, and you’ll have plenty of space to learn, grow, and take ownership.

Responsibilities

• Design, build, and maintain infrastructure for deploying PyTorch models at scale.
• Prepare, clean, and manage datasets across multiple languages and tasks.
• Build and optimize training and evaluation pipelines for speech models.
• Automate recurring processes using Docker and internal tools.
• Evaluate model quality and monitor performance metrics across tasks.

Requirements

• Solid Python skills and experience with PyTorch.
• Familiarity with Linux and basic command-line tools.
• Interest in machine learning infrastructure and applied research.
• Able to work independently, take initiative, and follow through on complex tasks.
• Background or interest in speech/audio processing.
• Open-minded and adaptable — eager to learn and experiment with new tools.

Nice to Have

• Experience with experiment tracking (e.g., W&B, MLflow) or evaluation tools.
• Familiarity with basic cloud tools and version control (e.g., Git, AWS, GCP).

What We Offer

• A remote-first, flexible environment (160 hours/month) within EU time zones.
• Competitive salary and equity (ask us for details).
• The chance to shape foundational infrastructure at a small but impactful company.
• 3–4 in-person hackathons per year for collaboration, deep work, and some fun.
• Autonomy in how you approach your work — we trust you to get things done.

We value clear communication, curiosity, and a practical mindset. There’s room to grow into research, modeling, or other directions depending on your interests. If you’re excited to build systems that make cutting-edge speech models production-ready — we’d love to hear from you.