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AI/ML Engineer
Luminary Cloud
Redwood City, CA
We’re looking for an AI/ML Engineer who wants to build ML driven automation for Luminary Cloud’s revolutionary physics simulation, analysis, and design cloud platform.

Work Areas:

    • Conquer modeling problems that have not yet been solved, by Luminary or anyone else, from defining the problem out of a complex set of fuzzy constraints to specifying the data and components needed to build a solution, to championing the implementation of that solution and driving it forward…
    • Conceptually identify the missing data needed to solve any particular modeling problem, and then build the data ingestion and preprocessing pipelines to obtain and extract the data…
    • Devise the models that interpret sets of physical simulation outputs, with varying levels of uncertainty and noise, spanning over solids, liquids, and gasses; mechanics, aerodynamics, thermodynamics, and more; explore large parameter spaces intelligently to find the best design for objects moving through space and time; and optimize the performance of Luminary’s platform itself…
    • Modernize computer-aided engineering by implementing these data pipelines, workflows, and models in Luminary’s platform, for engineering design of a limitless range of real objects used by all of us in everyday life, each with its own physical demands and dynamics…

Technologies and Tools:

    • How to work with high-dimensional physically meaningful data, which may be sparse, and the strategies and approaches for optimization based on all of this data...
    • Strong programming skills, including debugging, optimizing, and deployment…
    • Comfort across machine-learning and data-science tooling, platforms, and services, as well as cloud-native systems engineering, especially GCP, and CI/CD deployment…
    • Deep mathematical skill and intuition, with a working knowledge of machine learning, data engineering, deep learning frameworks, and related testing techniques…

We're looking for an engineer who has:

    • Written substantial amounts of code that is running in production...
    • Shipped a product with your code running in it, or shipped models to production... 
    • Designed models from scratch, iterating towards a production-quality model, and characterized the various tradeoffs relevant to the application context (e.g., performance versus accuracy)...
    • Led or was closely aligned with leading data acquisition in a modeling context, including identifying what missing data was needed to build effective models and being involved in acquiring that missing data...
    • Worked with physically meaningful data, preferably from physical-science-based simulations, and performed uncertainty quantification…
    • Owned large projects end-to-end, and filled an IC role as a driver of complex multifaceted technical efforts...
Full-time
Mid Level