ML Platform Engineer
Bleu Robotics
Paris, France · Full-time · Robot Learning & AI
Design the architecture of the platform and select the cloud provider, orchestration layer, and web stack, in agreement with the team • Package our training and inference pipelines (Python, PyTorch) as cloud services: job scheduling, GPU…
Apply on Bleu Robotics’ careers page- Company
- Bleu Robotics
- Location
- Paris, France
- Workplace
- On-site
- Type
- Full-time
- Specialism
- Robot Learning & AI
- Team
- Tech
- First listed here
- 29 October 2026
About the role
We are hiring an ML Platform Engineer to put our robot learning stack in the cloud and own the full stack. The platform will let customers run our learning pipelines on their own data as a hosted service; its exact scope will evolve with the product. You will be the first engineer at Bleu Robotics with cloud expertise. The scope covers infrastructure, training and inference services, the web front end, security, and cost. The choice of cloud provider and web framework is open; you will make it with the team. The role is based in Paris and is on-site. Responsibilities • Design the architecture of the platform and select the cloud provider, orchestration layer, and web stack, in agreement with the team • Package our training and inference pipelines (Python, PyTorch) as cloud services: job scheduling, GPU provisioning, artifact storage, versioning of datasets and policies • Build the web application through which users upload data, follow training runs, and download policies, including its front end and API • Add interactive, browser-based components to the platform, including simulation, as the product evolves • Set up infrastructure as code, CI/CD, monitoring, logging, and alerting for the platform • Implement authentication, per-customer isolation, and data protection for confidential industrial data • Control cloud costs: GPU usage, storage, and idle resources • Bring cloud and DevOps practices to the rest of the engineering team through documentation, reviews, and training Required qualifications • Master’s degree or PhD in computer science or a related field, followed by 2 to 3 years of professional experience building and operating a comparable cloud service • Hands-on experience running production workloads on at least one major cloud provider (AWS, GCP, Azure, or a European provider such as Scaleway or OVHcloud) • Proficiency with containers and orchestration (Docker and Kubernetes or a managed equivalent) and with infrastructure as code (Terraform or similar) • Strong Python development skills for backend services, including asynchronous job execution • Front-end development experience with a modern web framework (React, Vue, Svelte, or similar), sufficient to ship the user-facing application yourself • Experience with CI/CD, monitoring, and security practices for a multi-tenant service • Comfortable working in Linux environments with Git • Professional proficiency in English, the official language of the team. Proficiency in French is not required; many of our employees do not speak French.