AI Research Scientist

Job not on LinkedIn

🔥 11 hours ago

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🧠 AI Research Scientist

👻 Ghost score 18%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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hum.ai

WebsiteLinkedInAll Job Openings

2 - 10 employees

🤖 Artificial Intelligence

🚀 Aerospace

🔬 Science

💰 Accelerator/Incubator on 2024-06

Artificial Intelligence • Aerospace • Science

hum. ai is an organization focused on building general intelligence of the physical world by training AI models on large-scale satellite imagery. The company states it is training on thousands of terabytes of satellite imagery and positions itself in the earth observation / remote sensing space, with an emphasis on research and creating positive impact through analysis of Earth data. Its public materials highlight research, careers, and a mission around leveraging satellite imagery for understanding the physical world.

📋 Description

• Own and evaluate the architecture of the central AI model, changing it based on evidence • Apply state-of-the-art techniques to uncover semantics in large, unusual datasets and improve downstream performance with domain experts • Define success metrics beyond existing GeoAI benchmarks • Prove ideas through fast, inexpensive experiments and scale successful approaches to petabyte-scale training with engineers • Collaborate with the agent team on model invocation, outputs, and product usefulness • Set milestones, roadmap, and resourcing with leadership and identify risks early • Write and publish research on earth observation foundation models • Represent the company’s work at conferences and with the broader community • Work with the Chief Scientist, engineering team, and agent team to train, experiment with, and deploy models for customers

🎯 Requirements

• 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 • Track record of original ideas or meaningful contributions demonstrated 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 • Experience training models on non-language data such as images, time series, or sensor data is a bonus • Geospatial or earth observation experience, or a background in earth science, is a bonus • Background in math or physics, especially where it informs modeling physical systems and sensor data, is a bonus • Fluent in Python and PyTorch is a bonus • Able to write efficient, reliable training and inference code is a bonus • Comfortable using agentic coding tools is a bonus

🏖️ Benefits

• Competitive salary • Meaningful early-stage equity • Health, dental and vision • Positive-impact work supporting nature conservation, carbon removal, and government customers • Collaborative technical team environment • Opportunity to publish research and represent the company at conferences and in the broader community

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