PetsApp
AI / Machine Learning Lead Software Engineer
PetsApp, Austin, Texas, us, 78716
About Hedral
Hedral is establishing the new standard of building design, starting with structural engineering. Architecture and Structural Engineering are the art and science of crafting our environment — whether serving new builds or historic renovations, single-family homes or supertall skyscrapers. The product of their highly iterative collaboration is a prescription of how a project needs to be executed to the finest detail possible. Hedral’s mission is to isolate the science from the art in this process, reducing rote work and creating more rapid, data-driven feedback loops for design work using the latest technological innovations in generative design and AI. The result is a new breed of AEC firm that delivers the speed, reliability, and transparency that the industry severely needs.Generative AI/Machine Learning Lead Software Engineer
As a Machine Learning Software Engineer you will be the member of the core team and will lead a team of technologists to build foundation models and generative AI tools for Hedral’s Platform. You will work collaboratively to experiment with and productize the use of machine learning and generative AI models in engineering software.Responsibilities
Lead the research of existing and upcoming Generative AI models and their applicability to AEC Software Design Tools
Develop Prototypes to evaluate the productization of Machine Learning Models
Evangelize and architect software product features to leverage the capabilities of Machine Learning and Generative AI for AEC Design
Develop data collection / creation pipelines for training and/or fine tuning machine learning models
Determine the productization readiness of research prototypes
Collaborate with Frontend, Backend & Infrastructure in implementation of Gen AI & Machine Learning based data pipelines and features into the product.
Minimum Qualifications
MS in Machine Learning, Applied Artificial Intelligence, Computer Science or related field.
5+ years of experience in machine learning, machine learning infrastructure and machine learning data infrastructure
Domain expertise in training deep neural nets such as CNN and Transformers and developing production ML models
Proficiency in at least one deep learning framework such as PyTorch, TensorFlow etc.
Strong fundamentals in 3D Geometry, Geometric Computer Vision and Computational Geometry
Good understanding of public cloud infrastructure with AWS
Good understanding of fundamental CS algorithms and scaling behaviors of cloud native software
Excellent ability to translate theoretical concepts into practical solutions and prototype implementations
Desired Qualifications
Background in Architecture, Structural Engineering, CAE software
Practical experience in data generation, data preparation and hyper-parameter selection
Practical experience developing high scale machine learning algorithms
Passionate about solving problems for AEC (Architecture, Engineering & Construction)
Collaborative and comfortable assuming leadership roles with minimal direction
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Hedral is establishing the new standard of building design, starting with structural engineering. Architecture and Structural Engineering are the art and science of crafting our environment — whether serving new builds or historic renovations, single-family homes or supertall skyscrapers. The product of their highly iterative collaboration is a prescription of how a project needs to be executed to the finest detail possible. Hedral’s mission is to isolate the science from the art in this process, reducing rote work and creating more rapid, data-driven feedback loops for design work using the latest technological innovations in generative design and AI. The result is a new breed of AEC firm that delivers the speed, reliability, and transparency that the industry severely needs.Generative AI/Machine Learning Lead Software Engineer
As a Machine Learning Software Engineer you will be the member of the core team and will lead a team of technologists to build foundation models and generative AI tools for Hedral’s Platform. You will work collaboratively to experiment with and productize the use of machine learning and generative AI models in engineering software.Responsibilities
Lead the research of existing and upcoming Generative AI models and their applicability to AEC Software Design Tools
Develop Prototypes to evaluate the productization of Machine Learning Models
Evangelize and architect software product features to leverage the capabilities of Machine Learning and Generative AI for AEC Design
Develop data collection / creation pipelines for training and/or fine tuning machine learning models
Determine the productization readiness of research prototypes
Collaborate with Frontend, Backend & Infrastructure in implementation of Gen AI & Machine Learning based data pipelines and features into the product.
Minimum Qualifications
MS in Machine Learning, Applied Artificial Intelligence, Computer Science or related field.
5+ years of experience in machine learning, machine learning infrastructure and machine learning data infrastructure
Domain expertise in training deep neural nets such as CNN and Transformers and developing production ML models
Proficiency in at least one deep learning framework such as PyTorch, TensorFlow etc.
Strong fundamentals in 3D Geometry, Geometric Computer Vision and Computational Geometry
Good understanding of public cloud infrastructure with AWS
Good understanding of fundamental CS algorithms and scaling behaviors of cloud native software
Excellent ability to translate theoretical concepts into practical solutions and prototype implementations
Desired Qualifications
Background in Architecture, Structural Engineering, CAE software
Practical experience in data generation, data preparation and hyper-parameter selection
Practical experience developing high scale machine learning algorithms
Passionate about solving problems for AEC (Architecture, Engineering & Construction)
Collaborative and comfortable assuming leadership roles with minimal direction
#J-18808-Ljbffr