Member of Engineering (Multimodality - Research Lead)

Poolside
United Kingdom, United States
Workplace: RemoteFull timeFunction: Research & Scientific (R&D)Skills: ["High-ownership","Pragmatism","Collaboration","Intellectual curiosity"]

Build a new multimodality team from the ground up, teaching a frontier coding model to “see” through image input. Own the technical direction from adapter-based approaches toward native multimodality, shipping first image-input capabilities. Partner across Applied Research and collaborate with evals, architecture, data, and post-training teams to create datasets, run end-to-end experiments at scale, and land multimodal SWE capabilities.

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FursaFursa
Poolside
Poolside
1 month ago

Member of Engineering (Multimodality - Research Lead)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Build a new multimodality team from the ground up, teaching a frontier coding model to “see” through image input. Own the technical direction from adapter-based approaches toward native multimodality, shipping first image-input capabilities. Partner across Applied Research and collaborate with evals, architecture, data, and post-training teams to create datasets, run end-to-end experiments at scale, and land multimodal SWE capabilities.
Location: United Kingdom, United States
Workplace: Remote
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Own Poolside's multimodality direction and capability adoption.
  • •Ship the first image-input capabilities for the models.
  • •Chart and drive the path from adapter-based to native multimodality.
  • •Collaborate on custom evaluations and datasets for multimodal SWE capabilities.
  • •Run end-to-end experiments (hypothesis, implementation, training at scale, analysis) and partner with cross-functional teams to land multimodality.

Pay and Benefits

Perks:Remote WorkHealth InsuranceParental LeaveHome OfficeCompany Equipment

Key Requirements

  • •Experience in end-to-end training of production-grade VLMs.
  • •Strong LLM training fundamentals, including transformers and distributed training at scale.
  • •Strong Python programming skills.
  • •Pragmatic, high-ownership approach that thrives in greenfield ambiguity.
  • •Nice to have: leadership and 0-1 experience with substantial ownership and hands-on contributions.
Skills:High-ownershipPragmatismCollaborationIntellectual curiosity
Tech Stack:PythonTransformersDistributed trainingGPUsVLMsLLMsMultimodality

Company Brief

Poolside
Builds foundation models, coding agents, and enterprise systems to automate and accelerate software development; offers on-prem/VPC deployments, developer tooling, and forward-deployed engineering for high‑security environments.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series B
Headquarters: San Francisco, United States
Founded: 2023
WebsiteLinkedIn