Zyphra is an artificial intelligence company based in Palo Alto, 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
Requirments:
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
Ideal Skillset:
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
We move as quickly as we can; we aim to minimize the bar to impact as low as possible
We all enjoy what we do and love discussing AI
Benefits and Perks:
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
We’re building something new, and we want someone with strong research taste and intuition. If that is you, Apply Today!
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