Research Engineer - Language Model Pre-Training

As a Research Engineer - Language Model Pre-Training, you'll shape our language model roadmap through end-to-end pretraining development. You will work extremely closely with our pretraining team, who will integrate your insights into our next-generation models.

• 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

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

• Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Math, Physics)