Previous experience working with language models or other similar NLP technologies
Familiarity with important ideas in LLM space, such as MHA, RoPE, ZeRO/FSDP, Flash Attention, quantization
A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment
Strong engineering skills, including experience in developing large distributed systems or high-load web services
Open-source projects that showcase your engineering prowess
Excellent command of the English language, alongside superior writing, articulation, and communication skills
A profound understanding of theoretical foundations of machine learning and reinforcement learning
Deep expertise in modern deep learning for language processing and generation
Experience with training large models on multiple computational nodes
Reasonable understanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.)
Strong software engineering skills (we mostly use Python)
Deep experience with modern deep learning frameworks (we use JAX)
Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing
Strong communication and leadership abilities