Leads machine-learning projects from technical goal-setting through development and validation, coordinating stakeholders and small teams on edge AI and mobility algorithms. Primarily remote.
About this role
Idein, an edge-AI and IoT company whose Actcast platform runs large fleets of edge devices remotely, is hiring a core Machine Learning Engineer to lead route-generation algorithms for autonomous driving. The work targets low-speed driving in places such as shopping-centre car parks, using reinforcement learning and a sim-to-real approach to compete with leading companies in the field.
The engineer investigates and implements methods from the literature, invents and implements original methods, evaluates and manages experiments on models in simulation and on real vehicles, and builds the MLOps tooling that makes this efficient. The stack is Python and C++, with model development on servers and the ABCI supercomputer, Docker and Linux. The role offers integrated experience from simulator to vehicle and agile practice with scrum, in a team of about 15 in the AI development department, with mostly remote work and some office visits and travel.
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