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Jobs(26,635)/Staff Engineer Role(798)/Causal Labs (10) - Member of Technical Staff — ML Research, Planning
Causal Labs

Causal Labs - Member of Technical Staff — ML Research, Planning

San Francisco, California, United States3w ago
In OfficeStaffNAArtificial IntelligenceStaff EngineerLearning & Development

Requirements

• We value a relentless approach to problem-solving, rapid execution, and the ability to quickly learn in unfamiliar domains. • Strong grasp of machine learning fundamentals, with depth in at least one relevant area (e.g. reinforcement learning, planning and control, decision-making under uncertainty, model-based RL, post-training of large models) • Experience training models and the ability to understand experimental results through careful analysis and ablation studies • Familiarity with the challenges of reasoning, planning, or acting with learned models • A track record of turning open-ended research problems into working systems

Responsibilities

• Research and implement methods that turn a predictive physics model into one that reasons toward objectives — planning, control, and decision-making against a learned model of the world • Develop approaches for decision-making under uncertainty in high-dimensional, continuous physical state spaces • Build interfaces for specifying objectives and constraints, and methods for producing actions that satisfy them • Run experiments and ablations that connect reasoning methods to decision quality • Work across the full ML stack — data, model, eval, and infrastructure — to take ideas from prototype to scaled training runs

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