Implement core deep-learning, computer vision, and (inverse-)procedural modeling algorithms in Python
Apply cutting-edge research in machine learning and computer graphics to solve real-world problems
Work closely with our cofounders to understand high-level product vision and translate customer requirements into technical milestones
Interact with remote machines via a Unix shell to deploy and test code on large-scale geospatial datasets, ultimately generating 3D content for our customers
Use Git to manage source code and modularize complex implementation tasks into manageable, executable components

Graduate degree in Data Science, Computer Science, or a related field (or equivalent deep technical experience)
Proven experience as a DL Engineer or Applied Research Engineer in a fast-paced environment
Prior experience in industries with complex multi-disciplinary teams such as robotics, smart grids, precision agriculture, game development, or aerospace is highly valued
Fluency with Python, Git, and the Unix shell
Proven experience training and debugging artificial neural networks or adjacent experience (e.g., gradient descent, nonlinear optimization, or classical machine learning)
A strong mathematical background covering linear algebra, statistics, probability, and numerical methods
Preferred prior experience with modern C++ to interface with data ingestion and product pipelines

Deep Learning Engineer

Key skills