The future of intelligence is open.
About the role
As a Research Engineer - Vision & Vision-Language Models , you will be a core contributor on Zyphra’s Vision Team, building the next generation of models for image understanding, computer use, and other agentic visual tasks. You will work across the full model development stack, from sourcing and generating data to pretraining, post-training, reinforcement learning, and evaluation. The Vision Team owns its models end-to-end, and you will have the opportunity to contribute wherever you can have the greatest impact. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Strong research taste and intuition, with the ability to take ambiguous problems from conception to experimentation and execution
- Strong implementation and prototyping ability, you can turn ideas into experiments quickly
- A high rate of learning and an ability to rapidly become effective in unfamiliar technical areas
- Strong general machine learning intuition and an interest in understanding the full model development stack
- The ability to work well with others in a high-paced research setting
- Excellent communication and collaboration skills, and the ability to work effectively across both research and engineering implementation at scale
More about this role
As a Research Engineer - Vision & Vision-Language Models , you will be a core contributor on Zyphra’s Vision Team, building the next generation of models for image understanding, computer use, and other agentic visual tasks.
You will work across the full model development stack, from sourcing and generating data to pretraining, post-training, reinforcement learning, and evaluation. The Vision Team owns its models end-to-end, and you will have the opportunity to contribute wherever you can have the greatest impact.
We care strongly about rate of learning, research taste, and ability to execute. Previous experience training vision-language models is valuable, but not required.
End-to-end pretraining and post-training of vision-language models
Large-scale vision and multimodal training runs
Vision and multimodal dataset sourcing, generation, curation, processing, and evaluation
Reinforcement learning and other post-training methodologies for vision-language models
Computer use, visual agents, and other multi-turn agentic vision tasks
Architecture, data, and training methodology ablations and improvements
Performance optimization of our training and data processing stacks
Strong...
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