Research Engineer, Language Model Pre-Training

• Shape our language model roadmap through end-to-end pretraining development
• Work across: Large-scale training runs and model parallelization
• Performance optimization of our pretraining stack
• Dataset collection, processing, and evaluation
• Architecture and methodology research, including optimizer ablations

• Strong engineering aptitude for rapidly implementing reliable and robust systems
• Can rapidly learn new fields and are excited to implement new ideas
• Excellent communication and collaboration skills, and can work effectively on both research and engineering implementation at scale
• Deep expertise and intuition for solving machine learning problems and training models
• Experience with training on large-scale (multi-node) GPU clusters
• Deep understanding of model training pipelines – including model/data parallelism, distributed optimizers, etc.
• Strong grasp of proper experimental methodology for running rigorous ablations and other hypothesis testing
• Understanding of large-scale, highly parallel data processing pipelines
• High proficiency with PyTorch and Python
• Strong ability to dive into large pre-existing codebases and rapidly get up to speed
• Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Math, Physics)

Published machine learning research in well-respected venues is a plus

• Comprehensive medical, dental, vision, and FSA plans
• Competitive compensation and 401(k)
• Relocation and immigration support on a case-by-case basis
• On-site meals prepared by a dedicated culinary team
• Thursday Happy Hours
• In-person team in Palo Alto, CA, with a collaborative, high-energy environment