Research Engineer - Language Model Pre-Training
Zyphra· R&D - Engineering
San FranciscoFull-timePosted 11mo ago
About the role
Role focused on shaping the language model roadmap through end-to-end pretraining development, collaborating closely with the pretraining team to influence next-generation models.
Responsibilities
- 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
Qualifications
- 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)
Skills
Required:Large-scale ML model trainingModel/data parallelismExperimentation and ablation methodologyPyTorchPython
Benefits
- Comprehensive medical, dental, vision, and FSA plans
- Competitive compensation and 401(k) plan
- Relocation and immigration support on a case-by-case basis
- In-office snacks and meals provided
- Unlimited PTO and company holidays
- In-person team in San Francisco with a collaborative, high-energy environment
Last updated Aug 6, 2026. Interested? Apply on the company site.
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