Help solve some of the world’s trickiest optimization problems alongside an international team of AI architects and engineers devoted to pushing the limits of high-performance computing, large-scale simulations, and AI.
Your work will have a tangible impact on industries at the leading edge of technology and energy. You’ll collaborate with a team dedicated to an open exchange of ideas, where all input is valued equally.
Data ScientistThe data scientist in a team has a varied role. This can include working directly with our customers to support the deployment of our products, or internally to strengthen the products themselves. For our customers, your work will vary from initial data exploration, to modelling and problem formation, and then finally to the Reinforcement Learning training itself. Subspecialties within this broad scope are encouraged. You will work collaboratively with our backend, product, and AI teams.
Platform and Infrastructure EngineerAs an infrastructure engineer you will design, develop and support our flagship reinforcement learning platform Deepsim by making it more scalable, robust, and deployable. Our customers often have very diverse deployment and MLOps requirements and DeepSim will have to support them all. You will work collaboratively with our data science and AI teams to ensure that their needs can be serviced by the platform, be it data processing or model serving.
Python EngineerAs a backend engineer you will design, develop and support the server components of our flagship reinforcement learning platform Deepsim by making it more accessible and composable. You will work collaboratively with our infrastructure, data science and AI teams to ensure that their needs can be serviced by the platform, be it data processing, inspection of results, training of neural networks or model serving.