Research Engineer - Language Model Pre-Training

About the role

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.

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. 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) 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