AI/ML Engineer

2 weeks ago

Redwood City, United States Luminary Cloud, Inc. Full time

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...

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