20 annunci per il ruolo di python - vaud (recruiting in corso)

Senior Research Engineer / Research Scientist - Post-Training, Reinforcement Learning & Training Systems
Giotto.ai —Losanna, VD
- 100%
- Parzialmente remoto
- Dottorato
- Python
Candidatura rapida
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emploi.epfl.ch —Losanna, VD
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- 100%
- Parzialmente remoto
- Esperienza di laboratorio
- Master
- Bachelor
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11 giorni
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Sicpa —Prilly, VD
- Inglese
- Java
- Master
4 giorni
Analog SerDes Architect
Kandou AI —Saint-Sulpice, VD
- 100%
- Parzialmente remoto
- C++
- Bachelor
- Capacità di comunicazione
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Senior Azure DevOps Engineer
ELCA Informatique SA —Pully, VD
- 100%
- Gestionale
- Inglese
- Windows
P2621 - (Senior) Pharmacometrician
Debiopharm —Losanna, VD
- Parzialmente remoto
- Dottorato
- Inglese
- Competenze organizzative
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Alpiq Holding AG —Losanna, VD
- 100%
- Gestionale
- Inglese
- Leadership
6 giorni
Site Reliability Engineer - eFX/ Crypto
Swissquote Bank —Gland, VD
- 100%
- Inglese
- Windows
- Java
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4 giorni
Head of Finance
Adaptyv —Losanna, VD
- 100%
- Parzialmente remoto
- SQL
- Pulizie
- Python
Financial Accountant
Swissquote Bank —Gland, VD
- 100%
- Microsoft Excel
- Inglese
- Microsoft Office
Candidatura rapida
9 giorni
Regulatory Reporting Specialist
Swissquote Bank —Gland, VD
- 100%
- Microsoft Excel
- Inglese
- Master
Candidatura rapida
Site Reliability Engineer - Cloud Operations
Swissquote Bank —Gland, VD
- 100%
- Inglese
- Java
- Reti informatiche
Candidatura rapida
2 giorni
Senior Software Engineer, Data Science
Nexthink —Losanna, VD
- 100%
- Parzialmente remoto
- Gestionale
- Dottorato
- Inglese
Candidatura rapida
3 giorni
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Nexthink —Losanna, VD
- 100%
- Parzialmente remoto
- Gestionale
- Inglese
- Java
Candidatura rapida
Elektroplaner:in 100%
cross-ING AG —Yverdon-les-Bains, VD
- 100%
- Parzialmente remoto
- CAD
- Inglese
- C++
ServiceNow Architect/Solution Designer MW
Sword Technologies SA —Eysins, VD
- CHF 120’000 - CHF 140’000 all'anno
- 100%
- Parzialmente remoto
- Gestionale
- Inglese
- Competenze analitiche
Candidatura rapida
Senior Software Engineer - Data Science Platform
Compagnie Financière Tradition —Losanna, VD
- Remoto
- Master
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- Linux
- Lavoro da casa
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3 giorni
Senior Product Security Engineer / Architect [Lausanne]
Taurus SA —Losanna, VD
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- Dottorato
- Inglese
- Ricerca
Candidatura rapida
Senior Automotive Vehicle Solution Owner
Neural Concept —Losanna, VD
- 100%
- Parzialmente remoto
- CAD
- Python
- Marketing

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Senior Research Engineer / Research Scientist - Post-Training, Reinforcement Learning & Training Systems

Giotto.ai -
Losanna, VD

Candidatura rapida

Dettagli della posizione

100% | Orario di lavoro: 90-100%

Qualifiche

Dottorato
Conoscenza lingue straniere
Docker
GitLab
Python
Debugging

Descrizione completa della posizione

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 control over the AI systems they use without compromising access to advanced reasoning capabilities. Giotto combines portable, configurable models with an AI operating system, integrating open and proprietary weights, datasets, tools, and deployment components.
About the role
We are looking for a Senior Research Engineer or Research Scientist to own the training and optimisation side of our complete post-training stack.
Starting from pretrained checkpoints, you will design, implement, scale, and operate the methods required to produce capable, reliable, and controllable production models.
Your scope will include supervised fine-tuning, preference optimisation, reinforcement learning, reward and verifier integration, policy distillation or consolidation, and distributed training.
This is not a single-GPU fine-tuning or adapter-only role. You should be comfortable operating training workloads where memory, communication, rollout generation, hardware topology, and fault recovery must be designed together.

You will:

Own the end-to-end post-training pipeline from pretrained checkpoint to production candidate.
Design and execute full-parameter and parameter-efficient SFT.
Implement preference optimisation, RLHF, RLAIF, reinforcement learning with verifiable rewards, and related methods.
Develop training strategies for reasoning, coding, tool use, multilingual behaviour, and long-horizon agent tasks.
Integrate reward models, verifiers, critics, graders, and process- or outcome-based rewards.
Build scalable rollout-generation systems for iterative and on-policy training.
Design multi-stage curricula combining SFT, reinforcement learning, rejection sampling, distillation, and policy consolidation.
Scale training across multiple machines and accelerators using appropriate combinations of data, tensor, pipeline, sequence, context, or expert parallelism.
Select sharding, precision, checkpointing, optimiser, batch-size, sequence-length, and activation-recomputation strategies.
Estimate memory, communication, throughput, rollout capacity, and compute requirements before launching major runs.
Profile and improve accelerator utilisation, communication efficiency, data loading, and end-to-end training time.
Diagnose numerical instability, communication failures, out-of-memory errors, stragglers, checkpoint issues, and convergence regressions.
Investigate reward hacking, entropy collapse, KL drift, stale rollouts, mode collapse, grader exploitation, and benchmark overfitting.
Build reliable checkpointing, recovery, monitoring, and reproducibility procedures.
Collaborate closely with data, evaluation, infrastructure, and inference teams.
Contribute clean, tested code, technical reports, and operational runbooks.

We are looking for demonstrated experience in most of the following areas:

Ownership of large-scale language-model training or post-training runs across multiple machines and accelerators.
Experience with workloads for which straightforward single-node training or pure data parallelism was insufficient..
Deep proficiency with Python, PyTorch, autograd, mixed precision, optimisation, and distributed execution.
Practical experience with PyTorch Distributed, FSDP, DeepSpeed, Megatron-Core, or an equivalent framework.
Ability to select parallelism and sharding strategies based on model, sequence, memory, and network constraints.
Strong understanding of SFT, preference optimisation, reinforcement learning, reward modelling, KL regularisation, sampling, and training stability.
Experience operating high-throughput inference or rollout systems as part of a training loop.
Ability to debug across model code, distributed communication, numerical optimisation, data, and infrastructure.
Strong experimental design and the ability to distinguish algorithmic improvements from evaluation or systems artefacts.
Experience building reliable, observable, and reproducible research software.
Personal ownership of consequential decisions affecting a substantial training programme.

A PhD is not required. We value exceptional technical work, strong judgement, and demonstrated ownership.

Relevant stack

Python and PyTorch.
PyTorch Distributed and FSDP.
DeepSpeed, Megatron-Core, or comparable frameworks.
Hugging Face Transformers.
CUDA and NCCL.
vLLM, SGLang, or similar rollout engines.
Ray, Slurm, Kubernetes, or comparable orchestration systems.
MLflow or Weights & Biases.
Docker, GCP, GitLab CI, profiling, monitoring, and pytest.

Experience with CUDA or Triton, long-context training, sparse models, asynchronous RL, stateful agent environments, distillation, or deployment-aware post-training would be especially valuable.

You may be a strong fit if you:

Enjoy working at the intersection of model research and distributed systems.
Can move from paper reproduction to reliable scaled implementation.
Are comfortable taking responsibility for expensive and operationally demanding experiments.
Approach failures methodically across algorithms, data, numerical stability, and infrastructure.
Care about held-out capability and reliability, not only training loss or reward.
Want meaningful ownership of a complete model programme.

Location and work style
We offer full-time employment in Switzerland.

Remote work is supported.
The team gathers approximately one week per month in a Swiss office.
Exceptional candidates elsewhere in Europe may be considered..

Candidatura rapida

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python offerte - vaud

Senior Research Engineer / Research Scientist - Post-Training, Reinforcement Learning & Training Systems

2 PhD Positions in Earthquake Engineering / Structural Engineering (ENAC/EESD)

Characterization Engineer

Senior Cloud Platform Engineer

Analog SerDes Architect

Senior Azure DevOps Engineer

P2621 - (Senior) Pharmacometrician

Senior Asset Trader

Site Reliability Engineer - eFX/ Crypto

Head of Finance

Financial Accountant

Regulatory Reporting Specialist

Site Reliability Engineer - Cloud Operations

Senior Software Engineer, Data Science

Senior Backend Engineer / Technical Lead

Elektroplaner:in 100%

ServiceNow Architect/Solution Designer MW

Senior Software Engineer - Data Science Platform

Senior Product Security Engineer / Architect [Lausanne]

Senior Automotive Vehicle Solution Owner

Voglio ricevere gli ultimi avvisi Job Alert per il ruolo di python nella seguente località: vaud

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