Zyphra is an artificial intelligence company based in San Francisco, California.

The Role:

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.

You'll 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

What We're Looking For / Requirements:

• 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

Qualifications / Additional Skills:

• 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)

Why Work at Zyphra:

• Our research methodology is to make grounded, methodical steps toward ambitious goals. Both deep research and engineering excellence are equally valued
• We strongly value new and crazy ideas and are very willing to bet big on new ideas