ML Platform Engineer

Job description

About us Bleu Robotics is an AI company developing universal AI software for the deployment of advanced robots , humanoids, mobile manipulators, and industrial arms, in real factories. The convergence of humanoid robotics and modern AI is one of the most significant technical opportunities of the decade, and most of the work today still happens in research settings. We are building the software layer required to bring it into operational use. We have a strong ambition to become the next Microsoft to run on every industrial humanoid. We have closed our pre-seed round with Top-tier fund to deploy our robot in Tier 1 manufacturing facilities. We are looking for deeply passionate scientists who can help us push the frontier and build a major lab in physical AI. Our vision To enable a robot to learn a new industrial task from a few demonstrations and operate autonomously, with under one hour between the start of the demonstration and the start of deployment. This objective shapes our roadmap and every technical decision we make. 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. BACKGROUND We are equally interested in two kinds of background: software or ML platform engineer who has built and operated a cloud service that runs training or inference jobs on data uploaded by users (e.g., an ML platform team, an MLOps product, a SaaS that runs compute on customer data). backend or full-stack engineer with solid DevOps experience who has shipped a web product on a major cloud provider and wants to work on robot learning. Experience with robotics or robot learning is appreciated but not required. You will learn the learning stack from the team; the team will learn cloud practices from you. 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…