Senior AI Research Engineer - Post-Training & RLHF (Remote)

Startupvalleys; Lausanne; Remote; CHF 120,000 - 180,000; Full time

Benefits offered by this job

Remote work supported

Job summary

Giotto.ai is a Switzerland-based AI company building intelligence systems for Switzerland and Europe. We are seeking a Senior Research Engineer to own the training and optimisation side of our post-training stack, from pretrained checkpoints to production candidates.

You will design and scale methods like supervised fine-tuning, RLHF, reward models, and distributed training, across multi-machine setups. You will collaborate with data, evaluation, infrastructure, and inference teams, contributing

Qualifications

• Own end-to-end post-training pipeline across multiple machines.
• Experience with SFT, RLHF, and reward modelling.
• Strong Python and PyTorch expertise.
• Ability to design scalable distributed training systems.

Responsibilities

• 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, and related methods.
• Build scalable rollout-generation systems for iterative training.

Skills

Python

PyTorch

Distributed

SFT

RLHF

RLAIF

DeepSpeed

Megatron-Core

Tools

Docker

Kubernetes

Ray

Slurm

MLflow

Weights & Biases

Job description

Giotto.ai is a Switzerland-based AI company building intelligence systems for Switzerland and Europe. We are seeking a Senior Research Engineer to own the training and optimisation side of our post-training stack, from pretrained checkpoints to production candidates.

You will design and scale methods like supervised fine-tuning, RLHF, reward models, and distributed training, across multi-machine setups. You will collaborate with data, evaluation, infrastructure, and inference teams, contributing