Research Engineer / Scientist, Post-training - Paris

H Company; Paris; Hybrid; EUR 110,000 - 140,000; Full time

Benefits offered by this job

Competitive salary

Hybrid work

Travel between offices

Career growth

Job summary

H is pushing the boundaries of superintelligence with agentic AI, hiring world-class talent to advance disruptive AI responsibly. The Models team builds foundational models for agentic applications, spanning LLMs and VLMs, and translating research into practical solutions that power next-gen AI.

We seek bright, motivated researchers who excel in cross-functional environments, with a track record in ML, DL, NLP or CV, and a passion for safe, impactful AI.

Qualifications

• Strong programming skills in Python and Git.
• Expertise with deep learning frameworks (PyTorch, JAX, TensorFlow).
• Experience with large-scale LLM/VLM training and RL alignment.

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.

Skills

Python

Git

Deep learning

LLM training

Multimodal architectures

Education

PhD or MSc in ML/DL/NLP/CV

Tools

PyTorch

JAX

TensorFlow

reinforcement learning

Job description

About H:

H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.

H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.

About the Team:

The Models team builds the foundational models that power our cutting-edge agentic technology. We focus on training techniques to optimize model capabilities specifically for agent applications. This allows us to achieve the best performance at a given inference cost. Our work spans the development of Large Language Models (LLMs) and Vision-Language Models (VLMs), enabling agents to perceive, understand, and act within complex environments. We are deeply involved in enhancing these models through training methods with a focus on improved instruction following, tool use, and interaction with dynamic environments via large-scale reinforcement learning and reward modeling. We operate at the intersection of research and product, translating cutting-edge research into practical solutions that drive the next generation of AI. We are looking for bright, motivated individuals to join our ranks and shape the future of superintelligent AI.

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

Requirements:

• Technical skills:
  • 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
• Research skills:
  • 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)
• Soft skills:
  • Excellent communication and presentation skills
  • Strong collaboration and teamwork skills
  • Passion for AI and problem-solving
• Bonuses:
  • Industry experience
  • Experience in LLM training with RL
  • Experience with data processing techniques

Location:

• Paris or London.
• This role is hybrid, and you are expected to be in the office 3 days a week on average.
• Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).

What we offer:

• Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups
• Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environment
• Enjoy a competitive salary
• Unlock opportunities for professional growth, continuous learning, and career development

If you want to change the status quo in AI, join us.