Senior Software Engineer: Computer Vision & MLOps (Zurich)
Egonym Zürich Unbefristet
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.
- 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.
- 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
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