Elevate AI-driven insurance solutions with Chubb as a Senior LLM Research Engineer. Engage in innovative AI tasks from dataset creation to deploying trained models in real-world applications.

Chubb is seeking a Senior LLM Research Engineer who will oversee the full cycle from training to implementation. This role includes managing end-to-end performance of models in high-stakes environments, covering underwriting and claims with a solid focus on evaluation metrics. Collaborate closely across teams to develop ground truth and enhance data quality.

Key Responsibilities: • Run post-training using SFT and RL methods • Design robust evaluation frameworks and analysis • Construct labelled training sets from diverse corpora • Execute distributed training on multi-node GPU clusters • Engineer inference performance for evaluation and serving

Requirements: • Proficient in production Python and related stacks • Experience with post-training practices in real models • Skilled in multi-node distributed training • Strong evaluation and measurement design skills • Familiar with agentic coding tools and practices

Bring your expertise in AI and LLMs to drive impactful outcomes at Chubb.

📌 Senior LLM Research Engineer at Chubb (Toronto)
🏢 Chubb
📍 Toronto