Machine Learning Engineer

Giotto.ai; Vaud; Hybrid; CHF 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Contractorship

Zusammenfassung

Giotto.ai in Switzerland seeks a mid-senior Machine Learning Engineer to design and deploy advanced AI systems focused on reasoning and scalable inference.

You will work on large‑scale ML systems, distributed training pipelines, and next‑gen architectures for reasoning models. Depending on seniority, you may lead a feature squad or a project team.

Hybrid model: remote work with occasional visits to Switzerland, and a focus on sovereign AI research and production excellence within Europe.

Qualifikationen

• Strong NLP/ML background with production experience.
• Proficient in Python and PyTorch.
• Experience building or deploying ML systems in production.
• Familiarity with LLMs and transformer architectures.
• Experience with distributed training or inference systems.

Aufgaben

• Design and deploy advanced AI systems focused on reasoning.
• Develop large-scale ML systems and distributed training pipelines.
• Collaborate on next‑generation architectures for reasoning models.
• Potentially lead a feature squad or project team depending on seniority.

Kenntnisse

NLP/ML expertise

Python programming

Distributed training expertise

Tools

PyTorch

Hugging Face ecosystem

LLMs

Docker

Kubernetes

Ray

Distributed computing

vLLM

CUDA programming

Jobbeschreibung

Giotto.ai is a Switzerland-based AI company building intelligence systems for Switzerland and Europe.

Our mission is to build sovereign AI capabilities that enable Switzerland and Europe to preserve their strategic independence, cultural identity, and core values while achieving world-class performance in advanced reasoning systems.

Our technology focuses on new architectures for reasoning and efficient AI systems. Giotto.ai has demonstrated strong research performance in international AI benchmarks such as ARC-AGI and is now building the next generation of production AI systems.

Role Overview

We are looking for a strong Machine Learning Engineer to help design and deploy advanced AI systems focused on reasoning and scalable inference.

You will work on large-scale machine learning systems, distributed training pipelines, and next-generation architectures for reasoning models.

Depending on seniority, the role may involve leading a feature squad or a project team, although strong senior individual contributors are equally valued.

Core Technologies

• Python
• PyTorch
• Hugging Face ecosystem
• Large Language Models (LLMs)
• Distributed computing
• vLLM
• Ray
• Docker
• Kubernetes

Nice to Have

• CUDA programming
• GPU kernel optimization
• Experience leading technical projects or engineering teams
• PhD in hard sciences
• Ex FAANG (or similar large tech companies)
• Medallist in prestigious Olympiad competitions (e.g. IMO, IOI, IPhO, or equivalent national/international competitions).
• 5 years+ experience in NLP/ML application

Required Profile

• Mid-senior or senior Machine Learning Engineer (3+ years in NLP/ML)
• Strong Python and PyTorch experience
• Experience building or deploying ML systems in production
• Familiarity with LLMs and transformer architectures
• Experience with distributed training or inference systems
• Comfortable working in fast-moving research and production environments

Location & Work Style

We offer a full-time employment in Switzerland but also a Contractorship.

Hybrid model:

• Remote work fully supported with occasional visits to Switzerland