Research Engineer, Model Inference & Serving - London
H Company · Hybrid London
CHECKED 10H AGO
Frontier labremote
At a glance
Highlights
- Build and operate systems serving H's foundational models in production.
- Optimize multimodal inference for Computer Use Agents at scale.
- Translate cutting-edge inference research into next-gen agent systems.
What they offer
- Competitive salary
- Professional growth, continuous learning and career development
- Collaborative, multicultural team alongside world-class AI talent
Ideal candidate
A research-minded engineer passionate about inference and agentic AI who thrives at the research-production intersection and collaborates openly to ship real-world systems.
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 modern cloud environment and production ML infrastructure (Kubernetes, etc.)
- Working knowledge of modern ML including transformers and multimodal architectures
- Research engagement: advanced degree with research output, publications, internships or open-source contributions
- remote policy
- 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