Senior ML engineer, media research

TL;DR - Help us build and scale the systems behind Pixel Systems' media authenticity products. This role balances research depth with shipping code customers rely on.

What you will do

• Design, train, and improve models for synthetic and manipulated content across images, video, documents, and other visual media
• Own parts of our training and inference stack, from experimentation to monitoring in production
• Partner with product and customers to prioritize what to measure and how to explain results

What we are looking for

• Several years shipping ML in production, ideally in vision, video, document analysis, or adjacent domains
• Comfort owning projects end to end: data, training, evaluation, deployment
• Clear communication with both technical and non-technical stakeholders

Our tech stack

We build on modern cloud infrastructure and AI-assisted tooling so engineers can move fast, stay in flow, and spend their time on problems worth owning.

• Frontend: React, TypeScript
• Backend: Python, C#, TypeScript
• Cloud: GCP
• DevOps & tooling: GitHub Actions, OpenTelemetry, Terraform

How to apply

• Apply in English, our working language day to day and the one you will use most if you join.
• We read every application ourselves and treat each one on its merits. If this role fits, submit through this careers page.
• If the role fits but you do not tick every point, apply anyway. We would rather read your application than miss it.