Staff Deep Learning Engineer (Computer Vision/Computer Graphics)

TL;DR

Staff Deep Learning Engineer (Computer Vision/Computer Graphics): Implement deep-learning, computer vision, and (inverse-)procedural modeling algorithms in Python to turn high-dimensional data into high-fidelity 2D/3D content. Focus on scaling and deploying code on large-scale geospatial datasets, solving applied ML + graphics problems, and coordinating technical milestones with a founding team.

Company

hirify.global is a global media and entertainment company creating and distributing content across film, television, and streaming.

What you will do

• Implement core deep-learning, computer vision, and (inverse-)procedural modeling algorithms in Python using linear algebra, probability, and geometry.
• Apply cutting-edge machine learning and computer graphics research to solve real-world problems.
• Coordinate with cofounders to translate product vision and customer requirements into technical milestones.
• Deploy and test code on large-scale geospatial datasets by interacting with remote machines via a Unix shell, generating 3D content for customers.
• Use Git to manage source code and modularize complex implementations into maintainable components.

Requirements

• Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• Minimum 5+ years of relevant industry experience, ideally in a fast-paced, high-growth tech environment.
• Proven experience as a Deep Learning Engineer or Applied Research Engineer.
• Strong technical proficiency: Python, Git, and Unix shell.
• Proven experience training and debugging neural networks (or adjacent ML experience such as gradient descent, nonlinear optimization, or classical ML).
• Strong math foundations: linear algebra, statistics, probability, and numerical methods.

Nice to have

• Experience with modern C++ for data ingestion and product pipelines.
• Prior industry experience in robotics, smart grids, precision agriculture, game development, or aerospace.

Culture & Benefits

• Work closely with a small founding team with an emphasis on collaboration and communication.
• High attention to detail and delivery of key R&D milestones in an early-stage, fast-moving environment.
• Selection process may include an in-person interview at an hirify.global location before a hiring decision.