Senior ML Engineer – Remote-Friendly, Scalable AI Systems

Startupvalleys; Lausanne; Hybrid; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

Giotto.ai, a Swiss AI research lab, seeks a Senior Machine Learning Engineer to design, build, and deploy advanced reasoning-focused AI systems. You will work on large-scale ML systems, distributed training pipelines, and architectures for scalable inference with close collaboration between research and production teams.

Hybrid/remote-friendly Swiss work model, with opportunities to lead feature squads or project teams depending on experience and interests.

Qualifikationen

• Senior ML Engineer with at least five years of experience in NLP or machine learning.
• Strong programming skills in Python and hands-on experience with PyTorch.
• Experience building or deploying machine learning systems in production.
• Familiarity with LLMs and transformer architectures.
• Experience with distributed training or inference systems.
• Comfortable working in a fast-moving environment that brings together research and production engineering.

Aufgaben

• Design, build, and deploy advanced AI systems focused on reasoning and scalable inference.
• Work on large-scale machine learning systems and distributed training pipelines.
• Develop next-generation architectures for reasoning models in collaboration with research and engineering teams.
• Potentially lead a feature squad or project team as needed.

Kenntnisse

Python

PyTorch

Distributed training

LLMs

NLP

Ausbildung

PhD in mathematics/physics/computer science

Tools

Docker

Kubernetes

Ray

Hugging Face ecosystem

vLLM

Jobbeschreibung

Giotto.ai, a Swiss AI research lab, seeks a Senior Machine Learning Engineer to design, build, and deploy advanced reasoning-focused AI systems. You will work on large-scale ML systems, distributed training pipelines, and architectures for scalable inference with close collaboration between research and production teams.

Hybrid/remote-friendly Swiss work model, with opportunities to lead feature squads or project teams depending on experience and interests.