Montauk Capital ยท 2 months ago
Applied AI Researcher
Montauk Capital is a seed stage venture backed startup seeking an Applied AI Researcher to join their team. The role involves designing and developing AI-driven models and techniques for infrastructure optimization, with significant autonomy to shape research direction.
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Responsibilities
Designing, developing and models and techniques that power our infrastructure's intelligence layer
Bridging the gap between research and production, turning SOTA research into ML systems that run at scale
Shipping models that solve real problems
AI-driven predictive models for capacity planning, autoscaling, and resource optimization
Self-healing systems powered by ML that detect and resolve infrastructure failures autonomously
Novel scheduling algorithms using machine learning for GPU orchestration and workload distribution
Agentic AI systems for infrastructure management and optimization
ML models that learn from production data to continuously improve system performance
Qualification
Required
Scientist who loves to build and deploy AI/ML models in production
Strong ML engineering skills with experience taking models from research to production
Experience with distributed training, and model optimization
Hands-on experience with predictive modeling, time series forecasting, and anomaly detection
Strong adoption of AI tools for research, experimentation, and rapid prototyping
Deep understanding of current AI/ML research landscape and ability to implement papers quickly
Interest in exploring SOTA in self-healing systems, scheduling algorithms, and agentic infrastructure
Ability to work across the stack from research papers to production systems
Preferred
Ideally experience with reinforcement learning, multi-agent systems, or control theory
Company
Montauk Capital
Montauk Capital is an investment firm that provides a venture studio, an early-stage venture fund, and an energy-transition credit platform.
Funding
Current Stage
Early StageRecent News
2025-06-02
Venture Capital Firms
2025-05-30
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2025-05-28
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