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Research - Member of Technical Staff

Simile· Research
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San Francisco$200k - $400kFull-timePosted 2mo ago

About the role

Member of Technical Staff (MTS) in Research at Simile, focused on training, evaluating, deploying, and monitoring models of human behavior; end-to-end research lifecycle from experimental design to production deployment within a tight research-to-product pipeline.

Responsibilities

  • Extract Insight from Unique Data: Work with massive, proprietary datasets that represent the breadth of human experience, including long-form unstructured interviews, large-scale polls, and passively collected behavioral data.
  • Master the Hardware: Write code for the latest NVIDIA chips. You will be responsible for running high-stakes experiments on GPUs and staying at the forefront of modern language model training and fine-tuning methodologies.
  • Lead Scientific Discovery: Design rigorous evaluations and conduct experiments that go beyond standard benchmarks to prove the fidelity of our behavioral simulations.
  • Push the State-of-the-Art: Stay immersed in the latest developments in simulation research. You will frequently reproduce, critique, and improve upon existing academic papers, maintaining a high standard for academic-quality writing and documentation.
  • Own the Lifecycle: Bridge the gap between a research hypothesis and a production-ready model, ensuring that our "flight simulators" for society are grounded in statistical truth.

Qualifications

  • ML Proficiency: High proficiency in Python and hands-on experience with modern ML frameworks and AI coding tools.
  • Experimental Rigor: Experience running experiments on GPUs and a deep understanding of the training/fine-tuning lifecycle for large-scale models.
  • Research Literacy: Ability to navigate the frontier of ML research, with the technical skill to reproduce complex papers and the writing skill to document new breakthroughs.
  • End-to-End Ownership: A desire to own the full stack of research, from the first line of data processing code to the final deployment in a production environment.

Skills

Required:PythonML FrameworksGPU-based ExperimentationResearch DocumentationEnd-to-End OwnershipExperiment Design & Evaluation
Nice to have:Academic & Technical FoundationInterdisciplinary ExpertiseDistributed Training & Inference Optimization

Benefits

  • Salary Range: $200,000 – $400,000 USD
  • Equity: Grants are available for eligible roles, subject to board approval
  • Health & Wellness: Comprehensive medical, dental, and vision coverage
  • Time Off: Flexible time off policies to support work-life balance
Last updated Oct 26, 2026. Interested? Apply on the company site.

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