We're growing Mendria’s founding team! Mendria is a venture-backed, climate–fintech company which has been nominated for the 2026 Earthshot Prize. We help the world’s largest real estate owners and investment managers uncover and prevent hidden financial risks that traditional underwriting models miss. On the sustainability side, our models help cities and institutions reduce up to ~35% of emissions per asset and prevent ~40% of forecast climate-driven loss, all while improving ROI. Our founders have worked at BlackRock, Scale AI, Google, the UNEP, NOAA, DeepMedia AI, Netflix, and Paramount. We’re supported by 100+ environmental scientists and economists, including IPCC authors and Nobel Laureates.Job Description: Mendria’s modeling stack powers underwriting for portfolios worth billions. The ML Systems Engineer builds and maintains the infrastructure that makes these models reliable, reproducible, and scalable. This role sits at the intersection of data science and backend engineering, ensuring every model, dataset, and output is versioned, validated, and production-ready.Key Responsibilities:<ul><li>Design and maintain systems for model training, versioning, and reproducibility.</li><li>Build pipelines that support large-scale batch scoring, sensitivity runs, and scenario generation.</li><li>Develop tools for model monitoring, drift detection, and performance validation.</li><li>Collaborate with Data Science, Backend, and Regulatory teams to bring new models into production smoothly.</li><li>Ensure clean data flow, structured assumptions, and audit-ready lineage across the modeling stack.</li></ul>Education &amp; Qualifications (Preferred):<ul><li>Bachelor’s degree in computer science, engineering, applied math, or related field.</li><li>Experience with ML infrastructure (MLflow, Airflow, containerization, CI/CD, experiment tracking).</li><li>Strong programming skills in Python; familiarity with scientific computing libraries.</li><li>Familiarity with cloud environments (AWS, GCP, or similar).</li><li>Comfort working with production data systems and distributed computing.</li><li>Comfort working with location-based or geospatial data is a plus.</li><li>Detail-oriented, rigorous, and motivated to build reliable modeling infrastructure from the ground up.</li></ul>

Mendria, "the Bloomberg Terminal for risk-adjusted real estate," is a climate–fintech, venture-backed company and has been nominated for the 2026 Earthshot Prize. Operating across major global financial centers, including New York, London, Paris, Amsterdam, Berlin, Singapore, and Tokyo, Mendria works with the world’s largest REITs, insurers, family offices, lenders, and institutional investors to detect and price the fastest-growing financial risks no model currently accounts for.Across 100+ assets modeled, Mendria’s interventions are estimated to prevent ~$900M in forecast climate-driven losses and abate 2.8 MtCO₂e annually, equivalent to removing 600,000 cars from the road. Our models help cities and institutions reduce up to ~35% of emissions per asset, all while improving ROI.Our founders have worked at BlackRock, Scale AI, Google, the UNEP, NOAA, DeepMedia AI, Netflix, and Paramount. We’re supported by 100+ environmental scientists and economists, including IPCC authors and Nobel Laureates.

Founding Machine Learning Engineer

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Mendria

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