4 months ago

Research - Member of Technical Staff

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 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

Website

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Simile

4 months ago

Research - Member of Technical Staff

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

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

Industry: Developer Tools

Website