AI / ML Engineer

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October 31

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Montauk Capital

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Finance • Energy • SaaS

Montauk Capital is a venture investment and operating firm founded in 2023 that builds and invests across the 'Electron Economy'—companies at the intersection of electrification, infrastructure, AI, Web3, fintech, and sustainability. Montauk partners with founders to create software-driven solutions focused on AI infrastructure, logistics and industrial efficiency, energy and resiliency (smart buildings, energy systems), marketplaces and financial/insurance innovations, and data center and power infrastructure. Their portfolio includes parametric climate insurance, AI energy procurement tools, Web3 drone data platforms, novel data center infrastructure, and an electricity-futures-backed stablecoin. The team combines investment, operational, and sector experience in energy, climate tech, infrastructure, and venture-backed scaling.

1 - 10 employees

Founded 2023

💸 Finance

⚡ Energy

☁️ SaaS

📋 Description

• Develop and deploy ML models for grid dynamics, stability assessment, and system optimization. • Integrate data from simulations, sensors, and grid operators to train and validate predictive models. • Implement hybrid AI frameworks that combine data-driven and physics-informed approaches. • Collaborate with power systems engineers to translate complex grid behaviors into machine learning features. • Build scalable data pipelines and ML infrastructure to support real-time analysis. • Work closely with software engineers to integrate AI models into the core platform. • Experiment with advanced architectures (e.g., graph neural networks, reinforcement learning) for control and optimization.

🎯 Requirements

• 5+ years of experience in AI / ML, preferably with applications in energy systems, control, or simulation. • Strong background in applied machine learning, including model development, training, and deployment. • Expertise with frameworks such as PyTorch, TensorFlow, or JAX. • Experience with time-series forecasting, anomaly detection, or optimization models. • Knowledge of power systems, physics-informed ML, or numerical modeling is a strong plus. • Proficiency in Python and familiarity with distributed computing or cloud ML environments. • Ability to collaborate with multidisciplinary teams across AI, power engineering, and software. • Partner with the engineering team to integrate models into the product, support the MVP and beyond

🏖️ Benefits

• Competitive compensation and equity so you share directly in the value we create. • A remote schedule with quarterly team offsites. • A collaborative culture where your ideas matter and your contributions have immediate, visible impact across the firm. • As we scale, so will your role. • We’re solving real world problems as a team and are building this together.