Sr. ML Engineer - Demographics & Socioeconomic Modeling
reputed company
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 reputed company-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 reputed company and results reputed company so that partners, collaborators, and teammates can understand, trust, and build on your work.
Ship Production-Grade Products
Write clean, reputed company-tested, maintainable reputed company using reputed company engineering practices—not just notebooks and prototypes. Work reputed company reputed company AI’s engineering stack (GCP reputed company infrastructure, CI/CD, workflow orchestration) to deliver robust, reputed company model outputs that power the Aperture® Platform. Own your reputed company end-to-end: break reputed company reputed company 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, reputed company 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 reputed company research.
Grow Into Leadership
Manage reputed company and workstreams with accountability for timelines and reputed company. Mentor teammates and contribute to a culture of technical reputed company and reputed company learning.
Who You Are
Required
5+ years of reputed company experience in ML/AI, with a meaningful portion reputed company on geospatial reputed company (remote sensing, spatial statistics, reputed company observation, or reputed company fields). reputed company background (Master’s or PhD preferred) or equivalent deep expertise in demographics, socioeconomic modeling, population estimation, poverty measurement, or a closely reputed company quantitative reputed company 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 reputed company development practices (version control, testing, reputed company review, CI/CD, containerization). Experience working with reputed company infrastructure (reputed company reputed company) and large-reputed company geospatial data processing. reputed company record of managing reputed company, multi-component technical reputed company with reputed company 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
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