Machine Learning Researcher / Engineer, Pathway

• You are expected to meet at least one of the following criteria:
• You have published at least one paper at NeurIPS, ICLR, or ICML - where you were the lead author or made significant conceptual & code contributions
• You have significantly contributed to an LLM training effort which became newsworthy (topped a Huggingface benchmark, best in class model, etc.), preferably using multiple GPU's
• You have spent at least 6 months working in a leading Machine Learning research center (e.g. at: Google Brain / Deepmind, Apple, Meta, Anthropic, Nvidia, MILA)
• You were an ICPC World Finalist, or an IOI, IMO, or IPhO medalist in High School
• A deep learning researcher, with a track record in Language Models and/or RL (candidates with a Vision or Robotics ML background are also welcome to apply)
• Interested in improving foundational architectures and creating new benchmarks
• Experienced at hands-on experiments and model training (PyTorch, Jax, or Tensorflow)
• Have a good understanding of GPU architecture, memory design, and communication
• Have a good understanding of graph algorithms
• Have some familiarity with model monitoring, git, build systems, and CI/CD
• Respectful of others
• Fluent in English

Desirable

• This is an R&D position in attention-based models
• We are currently searching for 1 or 2 R&D Engineers with a strong track record in machine learning models research
• This is an extremely ambitious foundational project. There is a flexible GPU budget associated with this specific project, guaranteed to be in the 7-digit range minimum
• Perform (distributed) model training
• Help improve/adapt model architectures based on experiment results
• Design new tasks and experiments
• Optionally: oversee activities of team members involved in data preparation
• The results of your work will play a crucial role in the success of the project

• It's always a pleasure to say hi! If you could leave us 2-3 lines, we'd really appreciate that