Research, Pre-Training Data

Highlights

• Assemble pre-training datasets underpinning next-gen frontier AI models.
• Design methods for sourcing and filtering large-scale multimodal data.
• Evaluate dataset improvements via downstream model learning and behavior.

What they offer

• Generous health, dental, and vision benefits
• Unlimited PTO
• Paid parental leave
• Relocation support as needed

Ideal candidate

A researcher-engineer who loves working at the intersection of data, ML and systems and wants to shape how frontier AI learns, balancing deep theoretical curiosity with hands-on experimentation and clear communication.

Requirements

• Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX)
• Comfortable with debugging distributed training and writing code that scales
• Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or related discipline
• Clarity in communication and ability to explain complex technical concepts in writing
• Strong grasp of probability, statistics, and ML fundamentals
• Experience with curation, preprocessing, and analysis of large-scale text, code, or multimodal datasets
• Experience evaluating or improving training data quality and knowledge of data ethics, safety, and licensing