19 beste Stellen als research scientist in cheseaux sur lausanne vd – aktuell auf Personalsuche

AI Research Scientist
Giotto.ai —Lausanne, VD
- 100%
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- Forschungserfahrung
- Master
- Kommunikationsfähigkeit
Direkt bewerben
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SIB Swiss Institute of Bioinformatics —Lausanne, VD
- Doktorat
- Linux
- Python
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Nestlé —Lausanne, VD
- 100%
- Doktorat
- Englisch
- Master
- Bezahlte Feiertage
- Eltern-/Erziehungsurlaub
11 Tage
Chargé.e de recherche en soutien bioinformatique
Université de Lausanne —Lausanne, VD
- 100%
- Doktorat
- Englisch
- Forschungserfahrung
5 Tage
Systems Biology and Microbiome Data Science Intern
Nestlé —Lausanne, VD
- Englisch
- Praktikum
- Python
- Mitarbeiterrabatt
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HAYA Therapeutics —Epalinges, VD
- 100%
- Doktorat
- Python
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Scientist, Cell-Based & Functional Assays
Adaptyv —Lausanne, VD
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Scientist, Protein Expression & Purification
Adaptyv —Lausanne, VD
- 100%
Packaging Simulation Intern
Nestlé —Lausanne, VD
- Englisch
- Praktikum
- Kommunikationsfähigkeit
- Mitarbeiterrabatt
8 Tage
Senior Technician in Lipids Analytics
Nestlé —Lausanne, VD
- 100%
- Englisch
- Bezahlte Feiertage
- Eltern-/Erziehungsurlaub
2 Tage
Scientist, Analytical Characterization (HPLC & Mass Spec)
Adaptyv —Lausanne, VD
- 100%
Tech Lead, Android Core Product - Lausanne, Switzerland
Speechify —Lausanne, VD
- CHF 30’000 - CHF 160’000 pro Jahr
- Homeoffice
- Doktorat
- Schreibfähigkeiten
- Kommunikationsfähigkeit
6 Tage
Field Application and Service Engineer (Remote)
Nanolive —Tolochenaz, VD
- 100%
- Englisch
- Bachelor
- Kommunikationsfähigkeit
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PhD - Multimodal Generative AI for Materials Design
emploi.epfl.ch —Lausanne, VD
- Doktorat
- Englisch
- Master
Software Engineer, iOS Core Product - Lausanne, Switzerland
Speechify —Lausanne, VD
- CHF 30’000 - CHF 160’000 pro Jahr
- Homeoffice
- Doktorat
- Kommunikationsfähigkeit
6 Tage
Software Engineer, Data Infrastructure & Acquisition - Lausanne, Switzerland
Speechify —Lausanne, VD
- CHF 30’000 - CHF 160’000 pro Jahr
- Homeoffice
- Doktorat
- Master
- Scripting
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Scientist, Antibody Developability
Adaptyv —Lausanne, VD
- 100%
AI Engineer
Adaptyv —Lausanne, VD
- 100%
- SQL
- Erfahrung in der IT
- Python
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Senior Software Engineer, Windows/Desktop Applications - Lausanne, Switzerland
Speechify —Lausanne, VD
- CHF 30’000 - CHF 160’000 pro Jahr
- Homeoffice
- Doktorat
- Windows
- C++

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AI Research Scientist

Giotto.ai -
Lausanne, VD

Direkt bewerben

Details zur Stelle

100% | Pensum: 90-100%

Qualifikationen

Google Cloud Platform
Forschungserfahrung
Master
Docker
GitLab
Kommunikationsfähigkeit
Python

Vollständige Stellenbeschreibung

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

Our mission is to enable governments and enterprises to retain full control over the AI systems they use, without compromising access to the most advanced reasoning capabilities. From this control comes what matters most: protected data, preserved autonomy, and lasting strategic independence.

Giotto is a portable, configurable model and AI operating system with advanced reasoning capabilities, combining open and proprietary weights, datasets, and tools to deliver high performance, adaptability, robustness, and multi-agency support.

About the role

We are looking for an AI Research Scientist to help design, train, evaluate, and improve advanced AI systems. This role sits at the intersection of deep learning research, applied machine learning, and scalable engineering.

You will work on research problems involving large language models, multimodal reasoning, synthetic data generation, model evaluation, representation learning, and task-specific adaptation. You will be expected to move from ambiguous research questions to concrete hypotheses, experiments, prototypes, and eventually production-ready methods in collaboration with engineering and product teams.

This is a hands-on research role: you will read papers, design experiments, train and fine-tune models, build evaluation pipelines, analyze failures, and help translate research insights into reliable AI capabilities.

Responsibilities

As an AI Research Scientist, you will:

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 the level of data, architecture, training objective, prompting, or inference strategy.
Collaborate with ML engineers to scale experiments across GPUs and distributed infrastructure.
Contribute clean, reproducible research code, experiment configs, documentation, and internal reports.
Stay up to date with relevant AI research and translate promising ideas into practical experiments.
Help shape the company’s research roadmap and identify high-impact technical directions.

Required experience

We are looking for someone with strong experience in several of the following areas:

Deep learning, especially Transformer architectures and modern sequence models.
LLM training, fine-tuning, evaluation, or inference.
Strong practical experience with Python and PyTorch.
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 working 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 and the ability to explain research tradeoffs to technical and non-technical stakeholders.

Relevant tooling and stack

The role should stay close to the current ML engineering stack while adding research-oriented tools.

Expected core stack:

Python
PyTorch
Hugging Face Transformers / Datasets
CUDA-aware GPU training
MLflow or Weights & Biases for experiment tracking
Docker
GitLab CI
GCP / cloud GPU infrastructure
Ray or similar tools for distributed workloads and experiment orchestration
PyTorch Distributed, FSDP, DeepSpeed, or Accelerate
PEFT / LoRA / QLoRA
vLLM
pytest and reproducibility tooling for research code quality

Nice-to-have tooling:

Triton or custom CUDA kernels
GCS
RAG pipelines, vector databases, and embedding evaluation
Data annotation, synthetic data generation, and human-evaluation pipelines

Nice-to-have research areas

Experience in one or more of the following would be especially valuable:

LLM reasoning and planning
Multimodal learning
Program synthesis or structured prediction
Synthetic data generation
Model merging, distillation, and compression
Reinforcement learning or preference optimization
Evaluation of reasoning and generalization
Mechanistic interpretability or model analysis
Retrieval-augmented generation
Agentic systems and tool-using models
Distributed training at scale
Low-level inference optimization

Profile we are looking for

You may be a good fit if you:

Enjoy turning unclear research questions into measurable experiments.
Are comfortable with both theory and implementation.
Care about reproducibility, clean experiment tracking, and honest evaluation.
Can move quickly from paper to prototype.
Are pragmatic: you know when to pursue a research idea deeply and when to stop.
Like working closely with engineers to make research usable in real systems.
Are excited by frontier AI problems but grounded in measurable progress.

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.

Direkt bewerben

Erweiterte Suche

research scientist Jobs in cheseaux sur lausanne vd

AI Research Scientist

Research Scientist in computational comparative genomics, protein structure, and AI for crop improvement

Statistics and Data Science Specialist

Chargé.e de recherche en soutien bioinformatique

Systems Biology and Microbiome Data Science Intern

Senior Scientist II, Data Science (CompBio for Translation and Biomarkers in Cardio-Renal-Metabolics)

Scientist, Cell-Based & Functional Assays

Scientist, Protein Expression & Purification

Packaging Simulation Intern

Senior Technician in Lipids Analytics

Scientist, Analytical Characterization (HPLC & Mass Spec)

Tech Lead, Android Core Product - Lausanne, Switzerland

Field Application and Service Engineer (Remote)

PhD - Multimodal Generative AI for Materials Design

Software Engineer, iOS Core Product - Lausanne, Switzerland

Software Engineer, Data Infrastructure & Acquisition - Lausanne, Switzerland

Scientist, Antibody Developability

AI Engineer

Senior Software Engineer, Windows/Desktop Applications - Lausanne, Switzerland

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