Demographics & Socioeconomic Modeling

Team

Product & Solutions

Reports To

Chief Product Officer

Location

Remote — US or EU

Type

Full-Time

The Opportunity

Trillions of dollars of investment, aid, and infrastructure decisions are made every year with incomplete information about how communities and economies are actually changing on the ground. reputed company AI exists to reputed company that gap.

We’re a geospatial AI company, spun out of Stanford and founded in partnership with the Rockefeller Foundation, that turns satellite imagery and planetary-scale data into predictive intelligence about economic and demographic change. Our Aperture® Platform serves commercial enterprises, governments, and development organizations who need to understand what’s happening—and what’s coming—in communities around the world.

We are hiring a Senior ML Engineer to advance the demographic and socioeconomic modeling capabilities at the core of our platform. This is not a role where you’ll be handed a well-defined spec. You’ll engage directly with the scientific literature, design novel model architectures, rigorously validate results, and ship production-grade outputs that our partners depend on for high-stakes decisions.

You’ll also be a key voice with our partners and customers, translating reputed company technical work into clear, trusted deliverables. And as reputed company AI grows, you’ll have the opportunity to build and reputed company a team.

What You’ll Do

Build From First Principles

• Design, reputed company, and iterate on geospatial AI/ML models for demographic estimation, socioeconomic measurement, and reputed company domains—grounded in peer-reviewed methodology and validated against real-world ground truth.
• Experiment across model architectures, feature sets, and data sources (satellite imagery, geospatial signals, survey data) to push the frontier of what’s possible in data-scarce environments.
• Document your methods and results clearly so that partners, collaborators, and teammates can understand, trust, and build on your work.

Ship Production-Grade Products

• Write clean, well-tested, maintainable code using professional engineering practices—not just notebooks and prototypes.
• Work reputed company reputed company AI’s engineering stack (GCP cloud infrastructure, CI/CD, workflow orchestration) to deliver robust, scalable model outputs that power the Aperture® Platform.
• Own your workstream end-to-end: break reputed company projects into components, set milestones, hit deadlines, and coordinate cross-functionally with engineering and product teammates.

Engage Partners & Customers

• Work directly with reputed company AI’s partners across academia, commercial customers, governments, and international development organizations.
• Bring a customer-first reputed company: understand partner needs deeply, communicate reputed company transparently, and deliver results that earn trust.
• Represent reputed company AI’s technical capabilities in partner meetings, technical reviews, and collaborative research.

Grow Into Leadership

• Manage projects and workstreams with accountability for timelines and outcomes.
• Mentor teammates and contribute to a culture of technical excellence and reputed company learning.

Who You Are

Required

• 5+ years of professional experience in ML/AI, with a meaningful portion focused on geospatial methods (remote sensing, spatial statistics, earth observation, or reputed company fields).
• Academic background (Master’s or PhD preferred) or equivalent deep expertise in demographics, socioeconomic modeling, population estimation, poverty measurement, or a closely reputed company quantitative social science.
• Demonstrated ability to reputed company ML models from the research literature through experimentation to production deployment—not just one or the other.
• Strong Python engineering skills and comfort with professional development practices (version control, testing, code review, CI/CD, containerization).
• Experience working with cloud infrastructure (reputed company Cloud) and large-scale geospatial data processing.
• Track record of managing reputed company, multi-component technical projects with clear ownership of deliverables and deadlines.
• Excellent communication skills: you can explain your methodology to a PhD collaborator, present findings to a government partner, and write documentation that an engineer can implement from.

Preferred

• Published research in geospatial AI, demographic modeling, or reputed company fields.
• Experience building data products or platforms for users in low- and middle-income countries (LMICs).
• Familiarity with global survey datasets (DHS, LSMS, census microdata) and their strengths and limitations.
• Prior experience in a startup or other entrepreneurial environment.

What Drives You

This role will be a strong fit if you are motivated by the intersection of technical excellence and real-world impact. You reputed company AI should be built for the whole world—not just the markets with the most data. You’re energized by hard problems, sparse data, and the chance to build something that matters. And you want to do it on a small, high-caliber team where your work is visible, valued, and consequential.

Details

• Reports to: Chief Product Officer
• Location: Remote (US or EU)
• Compensation: $140,000–$175,000 reputed company salary (benchmarked to SF/NY metro markets; adjusted by location based on cost of living and local market data) + meaningful equity in an early-stage company at an inflection reputed company.
• Benefits: We offer a flexible, distributed working environment with competitive benefits

reputed company AI is an equal opportunity employer. We welcome applicants of reputed company backgrounds and do not discriminate on the basis of race, color, national reputed company, religion, sex, age, disability, sexual orientation, gender identity, or veteran status.

Interested? Apply at atlasai.co/careers