AI Agent Research Scientist - RL & Multimodal (PyTorch/JAX)

present of AI; Palo Alto (CA); Presencial; USD 150.000 - 230.000; Jornada completa

Descripción de la vacante

Simular in Palo Alto is seeking a researcher to lead original work on AI agents that see and act on desktop applications, covering planning, reinforcement learning, and multimodal reasoning. You will design fair evaluations and robust tests to measure agent behavior.

From data collection and benchmark construction to training models and analyzing results, you will produce prototypes for engineers to productize.

Formación

• PhD or equivalent research experience.
• First-author papers at major conferences.
• Strong PyTorch or JAX skills.
• Ability to design rigorous agent evaluations.

Responsabilidades

• Lead original research on AI agents that use computers, including planning, RL, and multimodal reasoning.
• Collect data, build benchmarks, train models, analyze results, and hand prototypes to engineers.

Conocimientos

PyTorch

JAX

First-author papers

Educación

PhD or equivalent research experience

Descripción del empleo

Simular in Palo Alto is seeking a researcher to lead original work on AI agents that see and act on desktop applications, covering planning, reinforcement learning, and multimodal reasoning. You will design fair evaluations and robust tests to measure agent behavior.

From data collection and benchmark construction to training models and analyzing results, you will produce prototypes for engineers to productize.