1 meilleure offre (python, vaud) (à pourvoir)

Machine Learning Engineer
Giotto.ai —Lausanne, VD
- 100%
- Télétravail
- Niveau Doctorat
- Python
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Machine Learning Engineer

Giotto.ai -
Lausanne, VD

Postuler rapidement

Détails de l'emploi

100% | Temps de travail : 90-100%

Qualifications

Niveau Doctorat
Docker
Python

Description complète du poste

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

Our mission is to build 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

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.

Hybrid model:

Remote work fully supported

Team gathers one week per month in the Swiss office

Exceptional candidates residing elsewhere in Europe may be considered.

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