Engineering Lead – Multimodality, Research

poolside

Research Lead for multimodality projects in AI at Poolside. Building image-input capabilities and driving multimodality direction.

Posted 7/22/2026full-timeRemote • 🇪🇺 Anywhere in EuropeSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in end-to-end training of production-grade Vision Language Models (VLMs) and strong Python programming skills, with a focus on multimodality capabilities and collaboration across teams. Proven ability to navigate ambiguity and drive innovative solutions in greenfield environments.

Highest-signal resume keywords

End-To-End Training of Production-Grade VLMsStrong Python Programming SkillsTransformers and Distributed Training at ScaleLeadership and 0-1 ExperienceUnderstanding of Native Multimodality Challenges

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

End-To-End TrainingVision Language Models (VLMs)Python ProgrammingTransformersDistributed TrainingMultimodal CapabilitiesCustom EvaluationsData AnalysisExperimentationAgentic Computer Use Systems

Soft Skills

Pragmatic Problem SolvingHigh OwnershipCollaborationAdaptability

Industry Keywords

MultimodalityGreenfield AmbiguityModel TrainingData EvaluationHypothesis Testing

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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
*Nice to have:*
- 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

Benefits

Comp & perks

Fully remote work & flexible hours
37 days/year of vacation & holidays
Health insurance allowance for you & dependents
16 weeks of flexible, full-pay parental leave
Well-being, always-be-learning & home office allowances
Company-provided equipment
Frequent team get togethers
Diverse & inclusive people-first culture