AI - Machine Learning Lead Software Engineer

February 20

🤠 Texas – Remote

Although this job is listed in Texas, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Hedral

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Hedral is establishing the new standard for building design, blending art and science to craft our environment from ancient monuments to modern skyscrapers. They supercharge domain experts with cutting-edge technology to bring Architecture, Engineering, and Construction (AEC) work into a new age.

2 - 10 employees

📋 Description

• 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.

🎯 Requirements

• MS in Machine Learning, Applied Artificial Intelligence, Computer Science or related field • Domain expertise in training deep learning models both generative and/or discriminative • 5+ years of experience in machine learning, machine learning infrastructure and machine learning data infrastructure • Proficiency in at least one deep learning / ML frameworks such as PyTorch, TensorFlow etc. • Strong fundamentals in 3D Geometry, Geometric Computer Vision and Computational Geometry • Hands on experience with identifying, extracting & generating (synthetic) data of different modalities for ML • 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