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Added 19 days ago
Forward Deployed Engineer, Sovereign AI
Cohere
Remote, Canada
$175,000 to $385,000 CAD / year
Full-time · Remote
You have shipped (lots of) Python in production
Added 11 days ago
Economic Data Analyst/Scientist
Environics Analytics
Toronto, ON
Full-time
Skilled in Python for data processing, statistical analysis, and visualizations.
Added 5 months ago
Software Engineer
EviSmart™
Vancouver, British Columbia
Full-time
Strong command of at least one major stack Python, Node.js/React, Java/Spring, or Go. We use Python, Node.js, React.
Added 5 months ago
AI-Native Web Developer
Feroot Security
Toronto, Ontario
$90,000 to $150,000 CAD / year
Full-time
We’re looking for an AI-native web developer who lives at the intersection of modern web development and AI-assisted tooling. You’ll manage our WordPress website, build and maintain…
Added 6 months ago
Software Quality Assurance and Automation Test Engineer -Automotive Infotainment
CIeNET Technologies
Markham, Ontario
Full-time
Development or scripting skills in common language such as JAVA, Python, Perl, C++ or shell
Added 5 months ago
HIL Simulation and Integration Engineer - Automotive Engineering
CIeNET Technologies
Oshawa, Ontario
Full-time
Solid knowledge of Python or other scripting languages
Added 6 months ago
Software Engineer (C++)
Scotiabank
Toronto, Ontario
Full-time
5+ years of experience in enterprise application development using C++. Proficiency in Java or Python is a plus.
Added 6 months ago
Principal Software Developer - AI Integration
Solace
Ottawa, Ontario
Full-time
This position is for a Principal Software Developer - AI Integration. In this role you will be a key technical leader working on the Solace Agent Mesh: an event-driven Integration and…
Added 6 months ago
Lead Developer
Purdys Chocolatier
Vancouver, British Columbia
We’re looking for a Lead Developer to join our IT team based in the 8330 Chester Office in Vancouver, BC! This person will report to the IT Operations Manager.
Added 3 months ago
Automation and Service Desk Specialist
Ontario Medical Association
Toronto, ON
Full-time
Microsoft Certified: Azure Developer Associate (AZ-204)
Added 1 month ago
Senior Systems Developer, IT.
Clio
Toronto, ON · Burnaby, BC · Calgary, AB
Full-time
We are looking for an experienced Senior Systems Developer with strong system analysis and integration development capabilities to join our IT Systems team, with a primary allocation to the…
Added 1 month ago
BI Data Engineer
Jonas Software
Markham, ON · Canada - Markham - Ontario
Full-time
Strong data wrangling, pipeline and basic web development skills. Experience with .NET, Java Script, Python and CSS.
Added 1 month ago
BI Data Engineer
Jonas Club Software
Markham, ON · Canada - Markham - Ontario
Full-time
Strong data wrangling, pipeline and basic web development skills. Experience with .NET, Java Script, Python and CSS.
Added 1 month ago
Ingénieur(e) en soutien de production | Programme diplômés Cloud, DevOps et SRE / Production Support Engineer | Cloud, DevOps & SRE Graduate Programme
mthree
Montreal, Quebec
Une expérience avec des langages de programmation ou de scripts tels que Python, Bash, JavaScript ou des technologies similaires.
Added 2 months ago
Analyste au soutien à la production / Graduate Production Support Analyst – Canada (Montreal)
mthree Recruiting Portal
Montreal, Quebec
Comment écrire un programme informatique de base en Python, y compris l'entrée utilisateur, les structures de données communes et le flux de contrôle.
Added 2 months ago
Analyste au soutien à la production / Graduate Production Support Analyst – Canada (Montreal)
mthree Recruiting Portal
Montreal, Quebec
Comment écrire un programme informatique de base en Python, y compris l'entrée utilisateur, les structures de données communes et le flux de contrôle.
Added 1 month ago
Staff Back End Engineer (Applications)
Forma.ai
Toronto, ON
Expertise in at least one production-grade backend language (e.g., Python, Java, Kotlin, Go, C#, etc.).
Added 2 months ago
Sr. Software Engineer (ML Researcher)
EarthDaily Analytics
Vancouver, British Columbia
$145,000 to $170,000 CAD / year
Full-time
Good skills and knowledge of best practices in at least one programming language (e.g. Python, C++)
Added 2 months ago
Full Stack Developer, Assurance Innovation Lab
BDO
Calgary, Alberta · Edmonton, Alberta · Halifax, Nova Scotia · Regina, Saskatchewan
Full-time
We are looking for an exceptionally skilled, hands-on, and innovation-minded Full Stack Developer, to build complex web applications, AI agents and APIs in our new Assurance Innovation Lab…
Added 4 months ago
Senior Distinguished Engineer- International Card Tech
Capital One
Toronto, Ontario
Full-time
10+ years of experience in coding with commonly used languages like Java, Python, Go, JavaScript/TypeScript, Swift
Added 5 months ago
Software Quality Assurance and Automation Test Engineer - ADAS Controllers
CIeNET International
Remote, Canada
Full-time · Remote
Experience with tools like Python and test automation methodologies.
Added 4 months ago
AI Architect I
TextLayer
Remote, Canada
$215,000 to $250,000 CAD / year
Full-time · Remote
Architect and maintain Python-based services using FastAPI for internal and customer-facing AI use cases
Added 10 days ago
Staff Software Engineer, App Runtime
Snowflake
Toronto, ON
Full-time
Proficiency in programming languages, such as Java, Python, TypeScript or Go (strong in backend and familiar with modern web stacks like Node.js), applied in distributed environments where…
Added 11 days ago
Software Engineer (Circuit Analysis, EDA frameworks, AI agents)
Cadence Design Systems
Vancouver, BC
Full-time
Added 11 days ago
Staff Software Engineer, Web3
Robinhood
Toronto, ON
Improve developer practices and lead the adoption of the latest AI tooling to maximize engineering output

EarthDaily Analytics

Sr. Software Engineer (ML Researcher)

Vancouver, BC, V6C 0C3, Canada

Pay: $145,000 to $170,000 CAD / year
Job type: Full-time
Apply by: Oct 5, 2026
Posting language: English
Posted: Jul 7, 2026

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Applications open in a new tab.

Original job description

OUR VISION
At EarthDaily Analytics (EDA), we strive to build a more sustainable planet by creating innovative solutions that combine satellite imagery of the Earth, modern software engineering, machine learning, and cloud computing to solve the toughest challenges in agriculture, energy and mining, insurance and risk mitigation, wildfire and forest intelligence, carbon-capture verification and more.

EDA’s signature Earth Observation mission, the EarthDaily Constellation (EDC), is currently under construction. EDC will be the most powerful global change detection and change monitoring system ever developed, capable of generating unprecedented predictive analytics and insights. It will combine with the EarthPipeline data processing system to provide unprecedented, scientific-grade data of the world every day, positioning EDA to meet the growing needs of diverse industries.

OUR TEAM
Our global, enterprise-wide team represents a variety of business lines and is made up of business development, sales, marketing and support professionals, data scientists, software engineers, project managers and finance, HR, and IT professionals. Our Data & Platform team is nimble and collaborative, and in preparation for launching a frontier and disruptive product in EDC, we are currently looking for a Sr. Software Engineer (ML Researcher) to join our crew! This is a Vancouver-based hybrid position with 3-days per week in-office required.

PREPARE FOR IMPACT!
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.

KEY RESPONSIBILITIES:

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

YOUR PAST MISSIONS

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

YOUR TOOLKIT

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

OUR SPACE
We’d love to welcome you to our world of software for space. We have a shared passion for building production critical systems that generate near real-time views of Earth from satellites that power real-world applications like disaster mitigation, environmental monitoring and crop yield improvements. It’s a fun, fast paced, exciting environment where we hold innovation, team work, honesty and trust as our core values.

To make the most innovative products that serve our customers, we recognize the role that each of us plays in Diversity and Inclusion at EarthDaily. We draw from our diverse crew of exceptional team members and encourage and empower our team members to express themselves regardless of identity, race, colour, ancestry, place of origin, religion, marital status, family status, physical or mental disability, sex, sexual orientation and gender identity or expression.

YOUR COMPENSATION
Base Salary Range: $145,000-$170,000 CAD annually. This range is based on Vancouver, BC-derived compensation for this role and may differ for other geographies. The selected candidate's compensation will be determined based on multiple factors, including but not limited to job-related skills, experience, education, and location.

WHY EARTHDAILY ANALYTICS?

Competitive compensation and flexible time off
Be part of a meaningful mission in one of North America's most innovative space companies developing sustainable solutions for our planet
Great work environment and team, with a waterfront head office location in Vancouver, BC.

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More about this job

Responsibilities

The role involves core contribution to the research, design, and implementation of EarthDaily’s large-scale geospatial foundation model for agriculture. Responsibilities include researching, designing, and validating deep learning architectures for multi-modal geospatial foundation models and leading large-scale training and fine-tuning efforts.

Requirements

Candidates must have a degree in a relevant technical field and over 7 years of combined software engineering and/or applied deep learning research experience, specifically including geospatial foundation model research. Proven experience designing and training complex deep learning models on large earth observation datasets using modern architectures is essential.

Skills

Deep Learning
Foundation Models
Geospatial
Earth Observation
Distributed Training
Cloud Computing
Algorithm Design
Model Validation
Spatio Temporal Models
Transformers
CNNs
Python
PyTorch
Agile Development
Test-Driven Design
Code Reviewing

Visa sponsorship

Not detected in the job text

Keywords

Software Engineering
Machine Learning
ML Researcher
Satellite Imagery
Cloud Computing
Agriculture
Energy
Mining
Insurance
Risk Mitigation
Wildfire Intelligence
Carbon Capture Verification
EarthDaily Constellation
Change Detection
Predictive Analytics
Geospatial Foundation Model
Deep Learning Architectures
Multi-modal
Optical Imagery
Weather Data
Distributed Training
Cloud Resource Usage
Benchmarking
SCRUM
CICD
AWS
NumPy
Pandas
GDAL
Rasterio

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