Grundlegend

Senior Software Engineer: Computer Vision & MLOps (Zurich)

Zürich, Zurich, Switzerland Gesellschaft: TN Switzerland Kunde / Arbeitgeber: Egonym

Gepostet: 18.05.2026

Abschlussdatum: 02.07.2026

Berufsreferenz: 045d415c67f991b1436772d68d35d4bc

Stelleninformationen

Lage

Zürich, Zurich, Switzerland

Gesellschaft

TN Switzerland

Kunde / Arbeitgeber

Egonym

Berufsreferenz

045d415c67f991b1436772d68d35d4bc

Auflistungstyp

Grundlegend

EU-Arbeitserlaubnis erforderlich

Nein

Gepostet

18.05.2026

Abschlussdatum

02.07.2026

Stellenbeschreibung

The Mission: Privacy at Scale We aren't just blurring faces; we’re reinventing digital privacy. Our team is building SOTA computer vision pipelines that replace real-world identities with high-fidelity synthetic faces. We operate at the intersection of a fast-paced startup culture and the massive impact of a corporate-backed project. We are looking for a Senior Software Engineer who lives for system architecture, performance optimization, and the challenge of deploying complex ML models to both cloud and edge. Tasks Architect & Build: Lead the development of robust data processing pipelines and ML deployment frameworks. Optimize: Squeeze every millisecond out of C++ implementations and Python ML wrappers to ensure our models run efficiently on various hardware, including edge devices. Deploy: Own the MLOps life cycle, ensuring our synthetic face redaction models are seamlessly integrated and scalable.Collaborate: Work in a highly structured and organized fashion within a small, elite team of engineers in our Zurich office. Requirements Strong Software Engineer: You have a great command of C++ and Python, being comfortable moving between low-level performance tuning and high-level ML orchestration. ML Practitioner: You have hands-on experience in ML Engineering and MLOps. You know how to take a model from a research notebook to a production environment. Architectural Thinker: You don’t just write code; you design systems. You understand how data flows and where bottlenecks are. Structured Overachiever: You are exceptionally organized, thrive in fast-paced environments, and speak fluent English.Bonus Points: Prior experience with corporate developer tooling, ML-based computer vision algorithms or large-scale data infrastructure is a significant plus. Benefits Impact: Work on SOTA technology in a corporate project with massive reach. Compensation: Highly competitive salary Environment: A fun office in Zurich with a flexible hybrid work setup. Culture: A small, fast-moving team with visibility to our corporate partner Egonym is an early-stage, Zurich based startup full of ambitions to use AI for good. We tackle problems related to digital visual identity – something which has been more and more abused by the internet’s bad actors and will face an ever growing number of threats.

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