Research Engineer / Scientist, Post-training - Paris

H Company
Paris, London, United Kingdom
Workplace: HybridFull timeFunction: Research & Scientific (R&D)Education: phdSkills: ["Communication","Collaboration","Teamwork","Presentation","Problem-solving"]

Join a research-focused team building and refining foundational models for agentic AI. You will develop and train advanced multimodal LLMs and VLMs, optimize distributed training pipelines, and collaborate across disciplines to deploy cutting-edge AI systems, while staying current with advances in LLMs, VLMs, and related fields.

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FursaFursa
H Company
H Company
10 months ago

Research Engineer / Scientist, Post-training - Paris

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Join a research-focused team building and refining foundational models for agentic AI. You will develop and train advanced multimodal LLMs and VLMs, optimize distributed training pipelines, and collaborate across disciplines to deploy cutting-edge AI systems, while staying current with advances in LLMs, VLMs, and related fields.
Location: Paris, London, United Kingdom
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Develop and train advanced LLMs and VLMs, including multimodal architectures.
  • •Research and implement training methods for enhanced capabilities like instruction following and tool use.
  • •Design and optimize data pipelines and training systems for large-scale distributed training.
  • •Collaborate with cross-functional teams to integrate models into agentic AI systems.
  • •Evaluate model performance and communicate findings to stakeholders.

Key Requirements

  • •Strong programming skills (Python, Git).
  • •Expertise in deep learning frameworks (PyTorch, JAX, TensorFlow).
  • •Experience with large-scale distributed training of LLMs and VLMs.
  • •Hands-on experience with LLM training, alignment, and reinforcement learning.
  • •Knowledge of multimodal architectures and applications.
Experience:Artificial intelligenceMachine learning
Education:PhD / Doctorate
Skills:CommunicationCollaborationTeamworkPresentationProblem-solving
Languages:English
Tech Stack:PythonGitPyTorchJAXTensorFlow

Company Brief

H Company
Develops agentic AI foundation models and deployable AI agents (e.g., Surfer H, Runner H) to automate web and enterprise tasks, improving productivity for large organisations through visual-language and planning capabilities.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: Paris, France
Founded: 2023
Glassdoor
Glassdoor: 2.5
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