AI Research Scientist

The role

You will own the model at the center of the system. You will work with the Chief Scientist and engineers to decide what the model learns from earth observation and remote sensing data and how to train and scale it.

What you will do

• Own the architecture.
• Apply state-of-the-art techniques to uncover the semantics of large, unusual datasets.
• Define success metrics.
• Prove ideas in fast, cheap experiments and scale winners to petabyte-scale training.
• Shape the integration with the agent team.
• Set milestones, roadmap, and resourcing with leadership.
• Write up and publish research on earth observation foundation models.
• Represent work at conferences and with the broader community.

Required qualifications

• PhD degree in computer science, engineering, a related field, or equivalent experience.
• 2+ years of industry experience building and shipping AI systems
• Deep understanding of cutting edge AI research, with a track record of original ideas or meaningful contributions shown through publications and/or projects.
• Experience taking ideas from small, exploratory experiments in compute- and data-limited settings to performant, large-scale training runs.
• Comfortable designing models for unconventional data modalities beyond text.

Nice to have

• Experience training models on non-language data (images, time series, sensor data), ideally geospatial or earth observation, or a background in earth science.
• Background in math or physics, especially where it informs how you model physical systems and sensor data.
• Strong engineering fundamentals: fluent in Python and PyTorch, and able to write efficient, reliable training and inference code, and comfortable using agentic coding tools.

Benefits

• Competitive salary
• Meaningful early-stage equity
• Health
• Dental
• Vision

About the company

Hum is a small team working on building a world model for the entire world to represent the dynamics of Earth processes. Founded at the University of Waterloo, the company is backed by investors like HF0, Climactic, and Onto Ventures.