OctaiPipe is seeking an Applied Scientist in causal inference to own the scientific reasoning behind our data-centre decision intelligence product. You will work on root-cause inference, counterfactual evaluation, and transferable causal models across sites to reduce maintenance effort and downtime.
Collaborating with reinforcement learning scientists and ML systems engineers, you will move methods from prototype to production, with rigorous evaluation, drift monitoring, and clear communication
Applied Scientist, Causal Inference for Edge Learning in City of London employer: OctaiPipe
At OctaiPipe, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to take ownership of their projects from day one. As an Automation QA Engineer, you will benefit from continuous learning opportunities in cutting-edge technologies while collaborating with a passionate team dedicated to excellence in product quality. Located in a vibrant tech hub, we offer a flexible work environment that promotes work-life balance and encourages personal growth.
