Staff Research Scientist — ML & Behavioral Simulation

Simile

San Francisco (CA)

Sur place

USD 200 000 - 400 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Health & Wellness
Equity
Flexible time off

Résumé du poste

Simile, The Simulation Company, is hiring a Member of Technical Staff in Research in San Francisco to train, evaluate, deploy, and monitor models of human behavior.

You will own the research cycle end-to-end—from designing experiments to deployment—working across the stack and ensuring rigorous scientific methods become production-ready.

We seek Python experts with ML frameworks, GPU experience, and a passion for advancing state-of-the-art in behavioral simulations.

Qualifications

  • Strong Python and ML framework experience.
  • Experience running large-scale experiments on GPUs.
  • Ability to reproduce and document ML research.
  • Ownership of research from data processing to deployment.

Responsabilités

  • Extract insight from large, unique data sources (unstructured interviews, polls, behavioral data).
  • Write code for NVIDIA chips and run GPU-based experiments.
  • Design rigorous evaluations beyond standard benchmarks to validate simulations.
  • Stay current with simulation research and document advances clearly.
  • Bridge research hypotheses to production-ready models.

Connaissances

Python
ML frameworks
Experimentation on GPUs
Research writing
End-to-end ownership

Formation

Advanced degree in CS/Math/Statistics or related field

Outils

NVIDIA GPUs
High-performance computing

Description du poste

Simile, The Simulation Company, is hiring a Member of Technical Staff in Research in San Francisco to train, evaluate, deploy, and monitor models of human behavior.

You will own the research cycle end-to-end—from designing experiments to deployment—working across the stack and ensuring rigorous scientific methods become production-ready.

We seek Python experts with ML frameworks, GPU experience, and a passion for advancing state-of-the-art in behavioral simulations.

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