AtlasAI · 1 month ago
Sr. ML Engineer - Demographics & Socioeconomic Modeling
United States
Full-time
Remote
Senior Level
$140K/yr - $175K/yr
5+ years expAtlasAI is a geospatial AI company that transforms satellite imagery and planetary-scale data into predictive intelligence regarding economic and demographic change. They are seeking a Senior ML Engineer to enhance their demographic and socioeconomic modeling capabilities, engaging with scientific literature, designing model architectures, and collaborating with partners to deliver impactful results.
Computer Software
Responsibilities
Design, develop, and iterate on geospatial AI/ML models for demographic estimation, socioeconomic measurement, and related 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
Write clean, well-tested, maintainable code using professional engineering practices—not just notebooks and prototypes
Work within Atlas 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 complex projects into components, set milestones, hit deadlines, and coordinate cross-functionally with engineering and product teammates
Work directly with Atlas AI’s partners across academia, commercial customers, governments, and international development organizations
Bring a customer-first mindset: understand partner needs deeply, communicate progress transparently, and deliver results that earn trust
Represent Atlas AI’s technical capabilities in partner meetings, technical reviews, and collaborative research
Manage projects and workstreams with accountability for timelines and outcomes
Mentor teammates and contribute to a culture of technical excellence and continuous learning
Qualification
Required
5+ years of professional experience in ML/AI, with a meaningful portion focused on geospatial methods (remote sensing, spatial statistics, earth observation, or related fields)
Academic background (Master's or PhD preferred) or equivalent deep expertise in demographics, socioeconomic modeling, population estimation, poverty measurement, or a closely related quantitative social science
Demonstrated ability to develop 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 (Google Cloud) and large-scale geospatial data processing
Track record of managing complex, 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 related 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
Benefits
Meaningful equity in an early-stage company at an inflection point
Flexible, distributed working environment with competitive benefits
Company
AtlasAI
Atlas AI empowers your legal team to analyze complex agreements quickly, create accurate legal documents effortlessly, and streamline research.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase