Hybrid Remote AI Research Scientist: LLMs & Multimodal

Embodied AI; Lausanne; Hybrid; CHF 120.000 - 170.000; Vollzeit

Zusammenfassung

Embodied AI in Lausanne, Switzerland, is seeking an AI Research Scientist to design, train, evaluate, and advance state-of-the-art AI systems. You will pursue research problems across LLMs, multimodal reasoning, synthetic data generation, and task-specific adaptation, moving from questions to experiments and production-ready methods.

You will actively read papers, craft experiments, train and fine-tune models, and build evaluation pipelines.

Qualifikationen

• Strong background in deep learning with Transformer architectures and sequence models.
• Experience with LLM training, fine-tuning, evaluation, or inference.
• Proficient with Python and PyTorch in production ML systems.
• Experience with the Hugging Face ecosystem: transformers, datasets, tokenizers, model checkpoints, and generation APIs.
• Understanding of training dynamics, optimization, loss functions, overfitting, regularization, and evaluation methodology.
• Ability to design rigorous experiments and interpret results beyond headline metrics.
• Experience with large datasets, preprocessing pipelines, and reproducible ML workflows.
• Strong mathematical foundations in linear algebra, probability, statistics, and optimization.
• Ability to read research papers and turn them into working prototypes.
• Clear communication skills to explain research tradeoffs to technical and non-technical stakeholders.

Aufgaben

• Define and execute research projects around LLMs, reasoning, multimodal models, synthetic data, and model adaptation.
• Design experiments to test hypotheses, compare architectures, evaluate training strategies, and measure model behavior.
• Train, fine-tune, and evaluate Transformer-based models using modern deep learning frameworks.
• Work on supervised fine-tuning, preference optimization, LoRA/PEFT methods, distillation, data augmentation, and evaluation-driven model improvement.
• Build robust benchmarks and diagnostic evaluations for reasoning, generalization, reliability, and task-specific performance.
• Analyze model failures and propose improvements at data, architecture, training objective, prompting, or inference strategy levels.
• Collaborate with ML engineers to scale experiments across GPUs and distributed infrastructure.
• Contribute clean, reproducible research code, experiment configs, documentation, and internal reports.

Kenntnisse

Deep learning

LLM training

Python

PyTorch

Hugging Face

Training dynamics

Experimental design

Large datasets

Mathematics

Technical communication

Tools

PyTorch distributed tools

CUDA

Hugging Face Transformers/Datasets

MLflow/W&B

Docker

GitLab CI

GCP cloud GPUs

Ray

PEFT/LoRA/QLoRA

vLLM

pytest

Jobbeschreibung

Embodied AI in Lausanne, Switzerland, is seeking an AI Research Scientist to design, train, evaluate, and advance state-of-the-art AI systems. You will pursue research problems across LLMs, multimodal reasoning, synthetic data generation, and task-specific adaptation, moving from questions to experiments and production-ready methods.

You will actively read papers, craft experiments, train and fine-tune models, and build evaluation pipelines.