Member of Technical Staff — ML Research, Planning

Causal Labs, San Francisco +1

What you will do

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

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)

Causal Labs, San Francisco +1

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

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)