Giotto.ai
Giotto.ai
Giotto.ai yra Šveicarijos dirbtinio intelekto įmonė, kurianti suverenaus samprotavimo technologiją verslo reikmėms. Jos pasiūla apima „Giotto 1“ – didelio samprotavimo gebėjimų modelį, sukurtą veikti viename grafikos procesoriuje, ir dirbtinio intelekto operacinę sistemą, jungiančią asistentą, dokumentų ir kodo įrankius, integracijas, agentus bei stebėseną. Organizacijos gali pasiekti platformą per Europos „Giotto“ debesiją, įdiegti ją privačiuose grafikos procesoriuose arba naudoti sertifikuotus „Giotto“ paruoštus techninės įrangos įrenginius. Įmonė siekia suteikti reguliuojamose srityse ir techninėms komandoms daugiau kontrolės dėl duomenų laikymo vietos, infrastruktūros ir privačių dirbtinio intelekto diegimų.

Junior AI Researcher at Giotto.ai — Hybrid, Lausanne

Join Giotto.ai as a Junior AI Researcher in a hybrid Lausanne role. Train and evaluate advanced models, develop benchmarks, and help turn research ideas into production-ready AI systems.

Aprašymas

  • Review current AI research and turn relevant ideas into practical experiments
  • Train, fine-tune, and assess Transformer-based models
  • Support research on reasoning, synthetic data, model adaptation, and evaluation
  • Create benchmarks and investigate model performance and failure patterns
  • Test ways to improve training data, objectives, prompts, and inference strategies
  • Develop clear, reproducible research software
  • Record experiments, findings, and conclusions
  • Work with research, engineering, and product teams
  • Build understanding of how advanced research becomes production-ready AI systems

Reikalavimai

  • Completed or nearly completed a master’s degree in computer science, artificial intelligence, machine learning, mathematics, physics, or another quantitative discipline
  • Strong foundation in machine learning and deep learning
  • Hands-on Python and PyTorch experience from academic projects, a thesis, research, or an internship
  • Working knowledge of Transformer architectures and large language models
  • Understanding of probability, statistics, linear algebra, and optimization
  • Ability to interpret research papers and implement their proposed methods
  • Intellectual curiosity, analytical ability, and motivation to learn
  • Effective communication and a collaborative approach
  • Experience with Hugging Face Transformers or Datasets
  • A master’s thesis focused on LLMs, reasoning, multimodal learning, reinforcement learning, interpretability, or generative AI
  • Experience with model fine-tuning, LoRA/PEFT, synthetic data, or evaluation workflows
  • Research publications, open-source work, or relevant personal projects
  • Familiarity with GPUs, experiment-tracking platforms, or cloud infrastructure

Privalumai

  • Hybrid work arrangement
  • Regular team collaboration at the Lausanne office

Susiję darbai

General Motors

Senior Embedded Software Engineer, General Motors

General Motors

Develop embedded C and AUTOSAR controls software for General Motors, leading delivery across the software lifecycle. Test, debug, and improve supplier solutions in a hybrid role based in Milford, Michigan.

Atidaryti