Job description

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 Why Work at Zyphra: - Our research methodology is grounded in methodical, step-by-step approaches to 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 - You will have the opportunity to work across the entire model development lifecycle rather than being constrained to a narrow part of the stack - We move as quickly as we can; we aim to minimize the bar to impact as much as possible - We value rate of learning and growth, not just what someone has already done - 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

Requirements

Must-haves

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 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
Experience working with vision, vision-language, video, or other multimodal models or datasets is highly valuable
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 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

Nice-to-haves

Experience training vision-language models is a plus, but not required
Experience with computer use agents, visual agents, GUI understanding, or other multi-turn multimodal tasks is a plus
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

Application prep

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Keywords to mirror

machine learningpythonai

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto