Junior AI Researcher

Startupvalleys; Lausanne; Hybrid; CHF 65.000 - 110.000; Vollzeit

Zusammenfassung

Giotto.ai in Switzerland is seeking a talented Master’s student or recent graduate to join us as a Junior AI Researcher. This role offers hands-on research experience at the intersection of theory and production.

You will train transformer models, read papers, and collaborate with research, engineering and product teams at our Lausanne office within a hybrid schedule.

Qualifikationen

• Master’s degree in CS/AI/ML or related quantitative field.
• Solid foundations in ML and DL fundamentals.
• Proficiency in Python and PyTorch from projects/thesis.
• Familiarity with Transformer architectures and LLMs.
• Ability to read papers and implement ideas.
• Strong communication and collaboration skills.

Aufgaben

• Read and discuss recent AI research and translate ideas into experiments.
• Train, fine-tune and evaluate Transformer-based models.
• Contribute to experiments involving reasoning, synthetic data, model adaptation and evaluation.
• Build benchmarks and analyse model performance and failure cases.
• Explore improvements to training data, objectives, prompts and inference strategies.
• Write clean and reproducible research code.
• Document experiments, results and conclusions.
• Collaborate with research, engineering and product teams.
• Learn how advanced research is transformed into production-ready AI systems.

Kenntnisse

Python

PyTorch

Transformer

LLMs

Math foundations

Research literacy

Communication

Ausbildung

Master’s degree in computer science / AI / ML / math / physics

Tools

Hugging Face Transformers

GPUs

Experiment tracking

Cloud infrastructure

Jobbeschreibung

Giotto.ai is a Swiss AI company building advanced intelligence systems for Switzerland and Europe. Our portable AI model and operating system enables organisations to use powerful reasoning capabilities while retaining control over their infrastructure, data and operations.

About the role

We are looking for a talented Master’s student or recent graduate to join us as a Junior AI Researcher.

You will

• Read and discuss recent AI research and help translate promising ideas into experiments.
• Train, fine-tune and evaluate Transformer-based models.
• Contribute to experiments involving reasoning, synthetic data, model adaptation and evaluation.
• Build benchmarks and analyse model performance and failure cases.
• Explore improvements to training data, objectives, prompts and inference strategies.
• Write clean and reproducible research code.
• Document experiments, results and conclusions.
• Collaborate with research, engineering and product colleagues.
• Learn how advanced research is transformed into production-ready AI systems.

You bring

• A completed or nearly completed Master’s degree in computer science, artificial intelligence, machine learning, mathematics, physics or a related quantitative field.
• A solid understanding of machine learning and deep learning fundamentals.
• Practical experience with Python and PyTorch through university projects, a thesis, research work or an internship.
• Familiarity with Transformer architectures and large language models.
• An understanding of probability, statistics, linear algebra and optimisation.
• The ability to read research papers and implement ideas from them.
• Curiosity, analytical thinking and a willingness to learn.
• Clear communication skills and a collaborative mindset.

Nice to have

• Experience with Hugging Face Transformers or Datasets.
• A Master’s thesis related to LLMs, reasoning, multimodal learning, reinforcement learning, interpretability or generative AI.
• Experience with model fine-tuning, LoRA/PEFT, synthetic data or evaluation pipelines.
• Research publications, open-source contributions or relevant personal projects.
• Experience using GPUs, experiment-tracking tools or cloud infrastructure.

You do not need to meet every listed requirement. We value strong fundamentals, curiosity, thoughtful experimentation and evidence that you enjoy solving difficult problems.

Location and work style

This is a full-time position based in Switzerland. We support a hybrid working model, with regular collaboration at our Lausanne office.