About HASH

About the role

• developing new model architectures in-house in support of deterministic simulation, and
• post-training and adapting state-of-the-art open-source base models

Requirements

• Strong research track record in machine learning, deep learning, or foundation models: evidenced by research publications, open-source contributions, or other evidence of original technical work
• Deep understanding of modern model architectures, training dynamics, inference optimization, scaling, and evaluation: transformer, diffusion, and exotic model architectures, sequence modeling, multimodal learning, and generative modeling
• Hands-on experience training, fine-tuning, or post-training large models: in particular preference optimization, synthetic data, distillation, continual learning, or alignment
• Strong coding and experimental skills: ideally in Python (and/or Rust) and modern ML tooling
• Ability to move fluidly between research ideas and practical implementation: comfort quickly moving from concept to early-proof right through to release and productization
• High agency, strong taste, and excitement about building something category-defining from Europe: we're looking for researchers who are all-in

What you'll work on

• Research and develop novel model architectures for reasoning, representation learning, and world modeling
• Post-train and adapt open-source foundation models for high-performance real-world use cases
• Design, run, and analyze experiments across training, evaluation, and scaling
• Work across data, systems, and product to turn research into deployed capability
• Contribute to research direction, technical strategy, and long-term model roadmap
• Help define the culture and standards of a high-talent, research-driven founding team

Why HASH

• Work on first-principles AI research tied to a large and important real-world mission
• Join at a moment of rapid growth, with outsized scope and influence
• Help build a leading frontier AI lab in Europe with global ambition
• Work alongside founders who have previously built and exited businesses worth billions of dollars
• Be part of a team that moves fast, is enthusiastically open source, and is in it for the long-term

Benefits