Member of Technical Staff - Pre-Training

Highlights

• Research scaling laws and data efficiency for large language models.
• Build open models that let anyone control and customize intelligence.
• Optimize training infrastructure for efficient large-scale scaling.

What they offer

• Top-tier salary and equity structured to recognize talent globally
• Stock options for all contributors
• Comprehensive medical, dental, vision, life plus wellness allowance
• Lunch and dinner provided in the office daily
• 22 weeks paid parental leave for all new parents
• Unlimited PTO in the U.S. and 30 days in the U.K.
• Visa sponsorship and long-term immigration support
• Regular off-sites, happy hours, and team celebrations

Ideal candidate

Research-driven builder with graduate background who thrives in fast-paced startups, balancing scientific curiosity with pragmatic engineering to advance open frontier intelligence.

Requirements

• Graduate degree (MS or PhD) in Computer Science, Machine Learning, or related discipline.
• Solid software engineering capabilities with experience building large-scale systems.
• Experience with large-scale ETL workflows and training data preparation.
• Deep understanding of large-scale ML, especially as it relates to language models, distributed training, and scaling.
• Proficient in Python and deep learning frameworks (PyTorch preferred).
• Navigate trade-offs between research objectives and practical engineering realities.
• Thrive in a fast-paced, high-agency startup environment with bias toward action.
• Strong communication capabilities and comfort working collaboratively.
• Passionate about advancing the frontier of intelligence.