Research Engineer / Scientist, Post-training - Paris
H Company · Hybrid Paris · Hybrid London
CHECKED 10H AGO
Frontier labremote
At a glance
Highlights
- Build foundational LLMs and VLMs powering cutting-edge agentic technology.
- Advance instruction following and tool use via large-scale reinforcement learning.
- Enable agents to perceive, understand, and act within complex environments.
What they offer
- Early-stage role shaping the future of AI at a high-growth startup
- Collaborative, dynamic and multicultural team of world-class AI talent
- Competitive salary
- Professional growth, continuous learning and career development opportunities
Ideal candidate
Bright, collaborative researcher passionate about agentic AI and safe superintelligence. Motivated to translate frontier research into real products and thrive in an open, learning-driven team.
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
- Publications in top-tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICCV)
- Advanced degree (PhD or MSc) in ML, DL, NLP, CV or related field
- Excellent communication and presentation skills
- Strong collaboration and teamwork skills
- Passion for AI and problem-solving
- remote policy
- Hybrid with 3 days in office per week on average, plus travel every 4-6 weeks
Lab profile
About H Company
Pushing superintelligence boundaries with autonomous agentic AI that automates complex multi-step tasks.
What they build
- Autonomous agentic AI systems
- Foundational infrastructure for autonomous AI
Known for
- Post-training
- Model inference and serving
- AI infrastructure
- Safe and responsible AI development
Key facts
- Teams in Paris, London, and the US