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Research Engineer / Scientist, Post-training - Paris

H Company· Research
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Hybrid (Hybrid Paris), Hybrid (Hybrid London)Full-timePosted 11mo ago

About the role

Research Engineer / Scientist focused on post-training methods for agentic AI, developing and training advanced multimodal models, and integrating them into agentic systems.

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
  • Stay current with advancements in LLMs, VLMs, and related fields

Qualifications

  • Publications in top-tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICCV)
  • Advanced degree (PhD or MSc) in a relevant field (e.g., ML, DL, NLP, CV)
  • 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
  • Excellent communication and presentation skills
  • Strong collaboration and teamwork skills
  • Passion for AI and problem-solving

Skills

Required:PythonGitPyTorchJAXLLM training
Nice to have:TensorFlowRL from LLMs

Benefits

  • Competitive salary
  • Opportunities for professional growth, continuous learning, and career development
  • Collaborative, multicultural team environment
  • Early-stage startup experience
Last updated Oct 8, 2026. Interested? Apply on the company site.

About H Company

H is an AI Research Lab and Product Company

H is an AI Research Lab and Product Company

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