Member of Engineering (Multimodality - Research Lead)
New
P
PoolsideArtificial Intelligence
Remote (EMEA/East Coast)Full-TimeLead
Salary not disclosed
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Job Details
- Required Skills
- Python
Requirements
- Experience in end-to-end training of production-grade VLMs
- Strong LLM training fundamentals: transformers and distributed training at scale
- Strong Python programming skills
- Pragmatic and high-ownership: you reach for the simplest thing that works and thrive in greenfield ambiguity
- Leadership and 0-1 experience, especially with substantial breadth, ownership, and hands-on contributions
- Distinguished research background on VLMs or multimodal models
- Understanding of the challenges of native multimodality
- Experience building agentic computer use systems
Responsibilities
- Own Poolside's multimodality direction and capability adoption
- Ship our first image-input capabilities
- Chart and drive the path from adapter-based to native multimodality
- Collaborate on custom evaluations and datasets for multimodal SWE capabilities
- Run experiments end to end: hypothesis, implementation, training at scale, analysis
- Partner with evals, architecture, data, and post-training teams to land multimodality in Poolside models
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