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Head of Applied AI & Building Intelligence

$150k - $175k

S:23 Recruitment

S23 - Renewable EnergyRole - Head of Machine Learning & Energy SystemsSalary - $150,000 - $175,000Location - Remote, North AmericaAbout the RoleAn early-stage climate tech company is hiring a senior technical leader to own and scale the machine learning and energy intelligence layer of its platform.This role sits at the intersection of AI, building operations, and mechanical systems. You'll be responsible for turning real-world building and energy data into production-grade models that drive measurable emissions reduction and operational impact.This is a hands-on leadership role with real ownership, working closely with founders, engineers, and domain experts in a fast-moving environment where practical engineering judgment matters as much as ML expertise.Key ResponsibilitiesOwn the machine learning and data intelligence strategy across the platformDesign, build, and deploy production ML models focused on energy usage, emissions, and building performanceWork closely with building operations, mechanical, and energy experts to ensure models reflect real-world system behaviourLead and mentor engineers, setting technical standards while staying hands-onBuild and maintain end-to-end ML pipelines, from data ingestion through to monitoring in productionPartner with product and engineering to translate complex data into clear, actionable insightsEnsure solutions are scalable, explainable, and reliable in live customer environmentsWhat We're Looking ForSenior experience across machine learning, applied AI, or data engineering rolesStrong Python background with proven experience deploying ML systems into productionExperience working with time-series data, optimisation problems, or physical systemsSolid understanding of building operations, mechanical engineering concepts, or energy systemsComfortable working with imperfect, real-world dataExperience with cloud infrastructure such as AWS or GCPOwnership mindset, you build it, you own itNice to HaveBackground in climate tech, energy optimisation, or smart buildingsExposure to HVAC systems, grid dynamics, or demand responseStartup or scale-up experienceExperience working closely with non-technical stakeholdersWhat's on OfferCompetitive senior-level salaryMeaningful equityHigh-impact role working directly with foundersReal ownership over core technology decisionsRemote-first role across North AmericaOpportunity to build technology that drives real-world decarbonisationJ-18808-Ljbffr

Vacancy posted 2 days ago
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