Job Description: Une offre intitulée “Administrateur(e) Système et Réseau, Infrastructure IT Sécurisée (m/f)” vient de s’ouvrir au sein d’Airbus Defence & Space à Toulouse. Vous rejoindrez le département “ Ground Segment Customer Support & Operations” en
TLDR: We’re looking for a DevOps Engineer to build and maintain the cloud and on-prem infrastructure behind our platform: Kubernetes clusters, CI/CD pipelines, observability, networking, and automation that keep production reliable, secure, and scalable. About us
TLDR: We’re looking for a DevOps Engineer to build and maintain the cloud and on-prem infrastructure behind our platform: Kubernetes clusters, CI/CD pipelines, observability, networking, and automation that keep production reliable, secure, and scalable. About Us
TLDR: We are looking for an ML Infrastructure Engineer to build the systems behind our LLM post‑training, RL, evaluation, inference, and agentic development workflows. You will work close to researchers, GPUs, training loops, data control systems,
TLDR: We’re looking for a research engineer to build and maintain our internal suite of benchmarks, covering single/multi-turn content and agentic guardrails. The research engineer would also work with the team on projects studying agent behaviours
Overview TLDR: Were looking for a research scientist to study how LLM agents fail in the wild, who can elicit deception, misalignment, and unsafe behaviour in concrete experiments, and build out the understanding of how agents
TLDR: Were looking for a research scientist to study how LLM agents fail in the wild, who can elicit deception, misalignment, and unsafe behaviour in concrete experiments, and build out the understanding of how agents break
TLDR: We are looking for an ML Infrastructure Engineer to build the systems behind our LLM post-training, RL, evaluation, inference, and agentic development workflows. You will work close to researchers, GPUs, training loops, data control systems,
TLDR: Were looking for a research scientist to build autonomous, large-scale environments that push LLM agents (single and multi-agent) to failure, and study how they actually break. About us White Circle is an AI Safety company building
About this role: Our Business Development teams play a critical role in expanding Gartner’s presence across the global market. Gartner Business Development Executives strategically acquire new clients by cultivating trust-based relationships with C-level executives to understand
TLDR: Were looking for a research engineer to build and maintain our internal suite of benchmarks, covering single/multi-turn content and agentic guardrails. The research engineer would also work with the team on projects studying agent behaviours
About WalletConnect WalletConnect is one of the core infrastructure teams in Web3 — we build the connectivity layer that lets wallets and apps communicate securely across blockchains. Since launching in 2018, we’ve grown into a network
TLDR: Multimodal ML Engineer to train and ship vision, audio, video, and speech models for an AI safety platform that operates at 100M+ API calls/month. About Us White Circle is an AI Safety company building the safety,
TLDR Were looking for a research scientist to build autonomous, large-scale environments that push LLM agents (single and multi‑agent) to failure, and study how they actually break. About Us White Circle is an AI Safety company building
TLDR: Were looking for a research scientist to study how LLM agents fail in the wild, who can elicit deception, misalignment, and unsafe behaviour in concrete experiments, and build out the understanding of how agents break
TLDR We are looking for several ML Engineers to train, post‑train, and evaluate the LLMs at the core of our platform. This is hands‑on modern model training work: large‑scale data pipelines, SFT/RLHF/DPO‑style alignment, reward models, distributed
TLDR: Were looking for a research engineer to build and maintain our internal suite of benchmarks, covering single/multi-turn content and agentic guardrails. The research engineer would also work with the team on projects studying agent behaviours
TLDR: We are looking for an ML Infrastructure Engineer to build the systems behind our LLM post‑training, RL, evaluation, inference, and agentic development workflows. You will work close to researchers, GPUs, training loops, data control systems,