Senior Software Engineer, Earth Daily
ML Researcher
CA$145-170k
3 days a week in office
Geospatial intelligence company
Be an early applicant
Geospatial intelligence company
201-500 employees
Be an early applicant
CA$145-170k
3 days a week in office
201-500 employees
Company mission
To lead in continuous, science-grade understanding of planetary change through broad-area change detection and AI-driven geospatial analytics.
Role
Who you are
- Degree in Computer Science, Math, Physics, Engineering, Geography, GIS or equivalent
- Higher level education in machine learning, data science, remote sensing, or related field is an asset
- 7+ years of combined software engineering and/or applied deep learning research experience, including geospatial foundation model research experience
- Proven experience designing and training algorithmically complex deep learning models for large scale datasets including earth observation data (e.g. Sentinel 2, Landsat)
- Hands on experience with modern deep learning architectures (e.g. CNNs, transformers, spatio temporal models), including understanding of trade-offs and how to adapt and combine architectural elements
- Experience working in cloud environments (e.g. AWS) for large scale distributed model training and data preprocessing
- Experience with Agile development, SCRUM and CICD processes, and collaborating with cross-functional teams
- Equivalent combination of education is accepted
- Excellent algorithmic, analytic, problem solving, debugging, optimization and code reviewing skills
- Physics and/or math knowledge an asset
- Good object-oriented and test-driven design skills
- Good skills and knowledge of best practices in at least one programming language (e.g. Python, C++)
- Proficiency in Python scientific stack and common tooling (e.g. NumPy, pandas, PyTorch, Jupyter)
- Familiarity with Python geospatial and EO tooling (e.g. GDAL, rasterio, xarray)
- Self-starter and self-learner attitude with the ability to manage and execute with minimal supervision
- Ability to take initiative, commit and thrive in a fast-paced, deadline-driven environment
What the job involves
- As a Sr
- Software Engineer (ML Researcher), you will be a core contributor to the research, design, and implementation of EarthDaily’s large‑scale geospatial foundation model for agriculture
- You will combine deep expertise in modern deep learning and foundation model architectures with hands‑on development on earth observation datasets to push the state of the art for geospatial foundation model technology, leveraging the EarthDaily Constellation’s unique temporal, spectral, and spatial characteristics
- Research, design, and validate deep learning architectures for large‑scale multi‑modal geospatial foundation models (e.g. combining optical imagery with weather and other contextual data) and evaluate trade-offs between architectures
- Lead large-scale training and fine-tuning of foundation models on large EO datasets
- Collaborate with machine learning infrastructure engineers on the team to optimize distributed training and cloud resource usage
- Collaborate with machine learning engineers on the team to define metrics and experiments to benchmark foundation model performance
- Participate in sprint planning, sprint reviews, sprint demos, sprint retrospectives
- Ensure technical documentation and systems are created, maintained and operational
- Grow your skillsets and share your experiences with the team
Our take
By leveraging big data, large scale computing, satellite imagery and AI to gain more accurate insights on the planet, geospatial intelligence is being put to use for a wide range of purposes, from raw materials and minerals sourcing to urban planning, insurance underwriting to policy making. It’s a quickly growing space, with the geospatial analytics market growing by around 16% every year.
EarthDaily utilizes a 10-satellite constellation to provide near real-time Earth observation data. With its roots in agricultural data, the company's 2021 acquisition of satellite imaging company UrtheCast's assets led to its current iteration as a daily broad-area change detector. It partners with companies to offer predictive intelligence about food security, climate resilience and geotechnical risk through satellite imaging and AI processing.
The company’s 2024 acquisition of Descartes Labs accelerated Earth Daily's AI capabilities, while in 2026 it launched its ten satellites into orbit. Earth Daily's assets and decades' worth of agricultural experience mean it's well-placed to meet escalating climate challenges head-on.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Oct 2019
$20m
SERIES B
Aug 2017
$30m
SERIES B
Total funding: $58m
Company HQ
Coal Harbour, Vancouver, BC
Leadership
Donald Osborne
(CEO)Prior to joining EarthDaily in 2021, Donald was the CEO of UrtheCast.
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