Elevate AI-driven insurance solutions with Chubb as a Senior LLM Research Engineer. Engage in cutting-edge 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 strong 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.
#J-18808-Ljbffr

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