Research Engineer, Model Inference & Serving - Paris
H Company · Hybrid Paris
CHECKED 10H AGO
Frontier labremote
At a glance
Highlights
- Build and operate systems serving multimodal models for Computer Use Agents.
- Optimize inference for agentic workloads with long context and tool calls.
- Co-design models with research teams to power next-gen AI agents.
What they offer
- Competitive salary
- Professional growth, continuous learning and career development
- Collaborative, multicultural environment alongside world-class AI talent
Ideal candidate
A collaborative engineer passionate about inference and agentic AI who thrives at the intersection of research and production and enjoys co-designing systems that unlock human potential.
Requirements
- Strong software engineering track record
- Proficient in Python and at least one systems language (Rust, C++, or Go)
- Hands-on experience with deep learning frameworks (PyTorch, JAX)
- Solid distributed systems fundamentals
- Experience with cloud environments and production ML infrastructure (Kubernetes)
- Working knowledge of transformers and multimodal architectures
- Research engagement via advanced degree, top-tier publications, internships or open-source contributions
- Excellent communication, collaboration and teamwork skills
- Passion for inference and AI
- remote policy
- Hybrid, 3 days in office per week on average
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