Research Engineer
2 days ago
You will be a core contributor on Zyphra's Vision Team building the next generation of vision-language models which can understand natural scenes with a focus on web, desktop, and mobile UIs. You will be deeply involved in the entire model training process from data gathering and processing to designing novel architectures and training methodologies. You will work across:
Large-scale vision encoder and vision language training runs
Performance optimization of our training stack
Image and video dataset collection, processing, and evaluation
Architecture and training methodology ablations and improvements
While deep expertise in all areas isn't required, you should be enthusiastic about learning each aspect as needed to drive our models forward. We also strongly look for velocity over position. However, having deep expertise in at least one of the above is helpful to begin contributing immediately.
RequirementsStrong research taste and intuition. The ability to work through a research project from conception to execution to write-up.
Strong implementation and prototyping ability can take an idea from conception to experimentation extremely quickly.
The ability to work well and cooperate with others in a high-paced research setting.
Experience with training and evaluating vision language models
Experience with creating and collecting large scale machine learning datasets, especially in the visual modality
Experience with training vision encoders using contrastive learning or other methods
Experience with supervised finetuning and preference learning methods as well as reinforcement learning methods
A good intuitive ability to understand model behaviors and correct them through iterative finetuning.
Interest in grappling in detail with data and spending significant time involved in data engineering and synthetic data generation
Postgraduate degree in scientific subject (Computer Science, Mathematics, Physics, Machine Learning, etc)
Previously published machine learning research in well-respected venues
Highly proficient with Pytorch and Python
Are excited and able to rapidly learn new fields and implement new ideas
Excellent communication and collaboration skills and can work effectively on both research and engineering implementation at scale.
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 make the bar to impact as low as possible
We all enjoy what we do and love discussing AI
Medical, dental, vision and FSA plans
Competitive salary, equity 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
Willing to be in-person in our office in Palo Alto
US authorization to work. We will consider O1 visa sponsorship for the right candidate
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