Machine Learning Engineer

Giotto.ai

1h•Hybrid

About The Position

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. 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.

Requirements

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
5 years+ experience in NLP/ML application

Nice To Haves

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)

Responsibilities

Design and deploy advanced AI systems focused on reasoning and scalable inference
Work on large-scale machine learning systems
Work on distributed training pipelines
Work on next-generation architectures for reasoning models
Lead a feature squad or a project team (depending on seniority)