Research - Member of Technical Staff

Simile
Palo Alto
Workplace: OnsiteFull timeUSD 200,000 - 400,000 annuallyFunction: Research & Scientific (R&D)Skills: ["Problem-solving","Communication","Collaboration","Writing","Critical thinking"]

Join the Core Engineering team as a Member of Technical Staff to design, train, evaluate, deploy, and monitor large-scale behavioral models. You’ll work end-to-end from experiments to production, using Python on GPUs, with a focus on rigorous scientific evaluation, reproducibility of papers, and bridging research hypotheses to production-ready models in a cutting-edge AI simulation platform.

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Simile
Simile
6 months ago

Research - Member of Technical Staff

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Last checked: 13 hours agoStatus: Live

Job Summary

Join the Core Engineering team as a Member of Technical Staff to design, train, evaluate, deploy, and monitor large-scale behavioral models. You’ll work end-to-end from experiments to production, using Python on GPUs, with a focus on rigorous scientific evaluation, reproducibility of papers, and bridging research hypotheses to production-ready models in a cutting-edge AI simulation platform.
Location: Palo Alto
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key 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.

Pay and Benefits

Salary: USD 200,000 - 400,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceEquityTime OffDentalVision

Key Requirements

  • •Academic & Technical Foundation: A strong background in Computer Science, Math, Statistics, Deep Learning, Computational Social Science, or a related field.
  • •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.
Experience:AISimulationML
Skills:Problem-solvingCommunicationCollaborationWritingCritical thinking
Languages:English
Tech Stack:PythonGPUNVIDIACUDAMachine learningML frameworks

Company Brief

Simile
Develops embedding and similarity search tools to power semantic search, retrieval-augmented generation, and similarity matching for applications. Provides APIs and developer tools to integrate vector search and multimodal retrieval capabilities into products.
Industry: Developer Tools
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