Allen Institute for AI (AI2)
Lead Machine Learning Engineer, Earth System
Allen Institute for AI (AI2), Seattle, Washington, us, 98127
Lead Machine Learning Engineer, Earth System
Seattle, WA Overview
Persons in these roles are expected to spend part of their time on-site in our Seattle offices and may occasionally work remotely from their home in the Greater Seattle area. On-site requirements vary based on position and team. If you have questions about Hybrid work arrangements for this role, please ask your recruiter. Our
base
salary range is $200,800 - $301,320, and in addition we have generous bonus plans to provide a competitive compensation package. What You’ll Do
Move fluidly between AI research and production engineering. Be
deeply experienced
in one or several areas in foundational machine learning research, and production-scale deployment. Operate with autonomy and a
bias toward action , iterating quickly while ensuring long-term sustainability. Enjoy working in a
highly collaborative
environment. About Earth System
We are building Earth-System (https://allenai.org/earth-system), a new platform for large-scale planetary intelligence. Our mission is to tackle some of the world’s most complex environmental challenges—spanning climate change, sustainability, food security, humanitarian aid, and conservation—through AI. This platform will combine
highly mixed-modality geospatial foundation models
with the infrastructure to fine-tune and deploy them at scale. Our models analyze many different types of planetary data including satellite imagery, elevation maps, super-resolution weather forecasts, and other geospatial data sources for tasks such as ecosystem mapping, forest loss driver classification, carbon sequestration, wildfire risk mapping, and land cover change detection. Challenges
Research Challenges : Advancing foundation models for geospatial intelligence; addressing domain adaptation, low-resource settings, and high-impact decision-making; and minimizing the cost of annotating high-quality, large-scale geospatial datasets Engineering Challenges : Scaling model training and inference responsibly, efficiently, and cost-effectively—particularly for users with limited compute or edge deployments beyond WiFi range. Product & Deployment : Building robust AI-first tools that enable scientists, policymakers, and conservationists to generate
actionable intelligence
with minimal friction. Responsibilities
Move fluidly between AI research and production engineering. Be deeply experienced in one or several areas in foundational machine learning research, and production-scale deployment. Operate with autonomy and a bias toward action, iterating quickly while ensuring long-term sustainability. Enjoy working in a highly collaborative environment. You will join a rapidly growing team of scientists, engineers, and AI practitioners dedicated to leveraging AI for social good at scale. We operate across research, engineering, and product development, shipping models that are already industry leading in climate, geospatial intelligence, maritime AI, and other domains. About Ai2
Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond. Voluntary Self-Identification
For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in The Allen Institute for Artificial Intelligence’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. We value inclusion and diversity in our workforce. If you believe you belong to any of the protected categories, you may indicate so. This information is collected to measure outreach and recruitment efforts and is kept confidential. Accommodation
We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org. Benefits
Team members and their families are covered by medical, dental, vision, basic life insurance, basic accidental death and dismemberment insurance, short-term disability, long-term disability, and an employee assistance program. Team members are able to enroll in our voluntary life insurance program, our voluntary accidental death and dismemberment program, our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans. Team members are able to enroll in our company’s 401k plan. Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses. Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year. Team members will be able to receive annual bonuses and can participate in the long-term incentive plan. Notes
This job description is for informational purposes and does not constitute a contract of employment. All duties and responsibilities are subject to possible modification to reasonably accommodate individuals with disabilities. This document does not create an employment contract, implied or otherwise, other than an at-will relationship.
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Seattle, WA Overview
Persons in these roles are expected to spend part of their time on-site in our Seattle offices and may occasionally work remotely from their home in the Greater Seattle area. On-site requirements vary based on position and team. If you have questions about Hybrid work arrangements for this role, please ask your recruiter. Our
base
salary range is $200,800 - $301,320, and in addition we have generous bonus plans to provide a competitive compensation package. What You’ll Do
Move fluidly between AI research and production engineering. Be
deeply experienced
in one or several areas in foundational machine learning research, and production-scale deployment. Operate with autonomy and a
bias toward action , iterating quickly while ensuring long-term sustainability. Enjoy working in a
highly collaborative
environment. About Earth System
We are building Earth-System (https://allenai.org/earth-system), a new platform for large-scale planetary intelligence. Our mission is to tackle some of the world’s most complex environmental challenges—spanning climate change, sustainability, food security, humanitarian aid, and conservation—through AI. This platform will combine
highly mixed-modality geospatial foundation models
with the infrastructure to fine-tune and deploy them at scale. Our models analyze many different types of planetary data including satellite imagery, elevation maps, super-resolution weather forecasts, and other geospatial data sources for tasks such as ecosystem mapping, forest loss driver classification, carbon sequestration, wildfire risk mapping, and land cover change detection. Challenges
Research Challenges : Advancing foundation models for geospatial intelligence; addressing domain adaptation, low-resource settings, and high-impact decision-making; and minimizing the cost of annotating high-quality, large-scale geospatial datasets Engineering Challenges : Scaling model training and inference responsibly, efficiently, and cost-effectively—particularly for users with limited compute or edge deployments beyond WiFi range. Product & Deployment : Building robust AI-first tools that enable scientists, policymakers, and conservationists to generate
actionable intelligence
with minimal friction. Responsibilities
Move fluidly between AI research and production engineering. Be deeply experienced in one or several areas in foundational machine learning research, and production-scale deployment. Operate with autonomy and a bias toward action, iterating quickly while ensuring long-term sustainability. Enjoy working in a highly collaborative environment. You will join a rapidly growing team of scientists, engineers, and AI practitioners dedicated to leveraging AI for social good at scale. We operate across research, engineering, and product development, shipping models that are already industry leading in climate, geospatial intelligence, maritime AI, and other domains. About Ai2
Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond. Voluntary Self-Identification
For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in The Allen Institute for Artificial Intelligence’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. We value inclusion and diversity in our workforce. If you believe you belong to any of the protected categories, you may indicate so. This information is collected to measure outreach and recruitment efforts and is kept confidential. Accommodation
We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org. Benefits
Team members and their families are covered by medical, dental, vision, basic life insurance, basic accidental death and dismemberment insurance, short-term disability, long-term disability, and an employee assistance program. Team members are able to enroll in our voluntary life insurance program, our voluntary accidental death and dismemberment program, our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans. Team members are able to enroll in our company’s 401k plan. Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses. Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year. Team members will be able to receive annual bonuses and can participate in the long-term incentive plan. Notes
This job description is for informational purposes and does not constitute a contract of employment. All duties and responsibilities are subject to possible modification to reasonably accommodate individuals with disabilities. This document does not create an employment contract, implied or otherwise, other than an at-will relationship.
#J-18808-Ljbffr