Member of Technical Staff - Post-training (Data Infrastructure)

📋 Description

• Build and maintain data pipelines for SFT, preference, and RL post-training data.
• Own dataset quality, versioning, and reproducibility.
• Turn research data recipes into production-grade, reusable components.
• Scale model inference for data generation and model-based grading.
• Design data formats and schemas that keep post-training datasets consistent and efficient to train
• Collaborate with researchers and engineers to make sure data pipelines keep pace with the needs of

🎯 Requirements

• Strong software engineering skills.
• Experience designing and building large-scale data pipelines for machine learning, ideally for LLM
• Track record of running distributed data processing and model inference at scale.
• Good understanding of post-training methods (e.g., SFT, RLHF, DPO) and how data shapes model
• Excellent communication skills.

🎁 Benefits

• A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
• Full health and dental benefits, including a separate budget for mental health.
• RRSP matching, 401K, Pension Scheme.
• 100% Parental Leave top-up for up to 6 months, for either parent.
• Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace
• 6 weeks of paid vacation (30 working days!)