Research Engineer -- Vision and Vision-Language Models

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.

We care strongly about rate of learning, research taste, and ability to execute. Previous experience training vision-language models is valuable, but not required.

You’ll Work Across

• 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

What We're Looking For / Requirements

• 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

Qualifications / Additional Skills

• Experience working with vision, vision-language, video, or other multimodal models or datasets is highly valuable
• Experience training vision-language models is a plus, but not required
• Experience with large-scale model pretraining, post-training, reinforcement learning, or related methodologies
• Experience sourcing, generating, or curating vision datasets, including synthetic data generation
• Familiarity with image processing tools, libraries, or pipelines
• Experience with computer use agents, visual agents, GUI understanding, or other multi-turn multimodal tasks is a plus
• Experience with frontend development, web frameworks, UI/UX implementation, or mobile development is valuable, particularly for computer use and interface-understanding tasks
• Experience training models on large-scale, multi-node GPU clusters
• Strong grasp of experimental methodology for running rigorous ablations and hypothesis testing
• Understanding of large-scale, highly parallel data processing pipelines
• 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 study in a scientific or technical field such as Computer Science, EE/EECS, Mathematics, Physics, or Machine Learning is a plus, but we care more about demonstrated ability and trajectory than credentials

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