CN and TW onlySimulate是一家处于早期阶段的AI平台，致力于实现人类行为和复杂系统的规模化模拟。我们计划运用多智能体系统、生成式AI、强化学习和蒙特卡罗方法，帮助企业快速测试各种情景，从而做出更精准决策并有效降低风险。
岗位概览
我们正在寻找一位能力出色、积极主动且富有创业精神的模拟AI研究工程师加入我们的创业团队。该角色需要具备快速实验、迭代创新的能力，并熟悉多智能体系统、强化学习（RL）、生成式AI（LLM）以及蒙特卡罗方法等尖端AI技术。
核心职责
研发并优化多智能体仿真模型，以精准模拟复杂行为。
开发和应用强化学习算法，实现智能体行为优化。
利用生成式AI（LLMs）开发高拟真交互和决策模拟。
运用蒙特卡罗方法进行情景分析、预测分析和风险评估。
与产品、工程和业务团队紧密协作，开发可扩展的实时模拟平台。
快速原型开发，根据反馈快速测试并迭代。
持续关注AI前沿研究，并将创新技术应用于平台中。
任职要求
计算机科学、人工智能或相关领域的硕士或博士学历。
熟练掌握多智能体系统、强化学习、生成式AI或蒙特卡罗方法。
熟悉Python及AI框架（如PyTorch、TensorFlow等）。
有将AI模型部署至生产环境的经验，优先考虑具有AWS云平台经验者。
出色的解决问题能力，具备较强的求知欲与沟通能力。
能适应早期创业环境，习惯快速迭代和不确定性。
优先条件
在金融、消费者研究、医疗保健、公共政策或游戏等行业有实际经验。
熟悉实时系统开发及云端基础设施扩展。
岗位职责
设计并开发先进的AI模拟模型。
与跨职能团队合作，快速原型开发并迭代解决方案。
持续测试、验证和完善模拟模型，确保准确性和稳定性。
积极探索最新的AI技术和方法，持续引入创新。
加入Simulate的理由
加入一个充满挑战和创新的初创团队。
与经验丰富的创业者和技术专家密切合作。
在快速试验、敏捷迭代的环境中快速成长。
Simulate致力于为所有求职者提供公平的就业机会。
We are building an AI-powered simulation platform for modeling and creating precise, scalable simulations of human behaviors and complex systems. Leveraging multi-agent systems, generative AI, reinforcement learning, and algorithms, we empower our users to rapidly test scenarios, inform strategic decisions, and reduce risks significantly compared to traditional methods like surveying or polling.
Position Overview
We’re looking for a highly skilled, motivated, and entrepreneurial Simulation Engineer to join our dynamic, fast-moving startup team. This role requires someone comfortable navigating uncertainty, rapidly experimenting, and delivering tangible results using state-of-the-art AI methodologies, including multi-agent systems, reinforcement learning (RL), generative AI (LLMs), and algorithms.
Key Responsibilities
Design, implement, and refine cutting-edge multi-agent simulations to model complex behaviors and systems.
Develop reinforcement learning algorithms and generative AI models for realistic simulation scenarios.
Employ Monte Carlo techniques for scenario testing, predictive analytics, and risk assessment.
Collaborate closely with product, engineering, and business teams to integrate simulations into scalable, real-time platforms.
Quickly prototype, test, and iterate on simulation solutions in response to customer feedback.
Provide actionable analytics and insights derived from simulation outputs.
Keep abreast of cutting-edge AI research, continuously incorporating innovations into our solutions.
Qualifications
Master's or PhD in Computer Science, AI, or a related technical field.
Strong expertise in multi-agent systems, reinforcement learning, generative AI, or Monte Carlo methods.
Proficient in Python and AI frameworks such as PyTorch or TensorFlow.
Experience deploying AI models into production environments, preferably on cloud platforms (AWS).
Exceptional problem-solving skills, strong intellectual curiosity, and the ability to communicate complex technical concepts clearly.
Comfortable in an early-stage startup environment characterized by rapid iteration and ambiguity.
Preferred Qualifications
Prior experience in high-impact sectors such as finance, consumer research, healthcare, public policy, or gaming.
Demonstrated capability to thrive in startup environments, adapting quickly to changing priorities.
Familiarity with real-time system development and cloud infrastructure scaling.
What You'll Do
Design, develop, and optimize sophisticated AI simulation models.
Rapidly prototype and iterate simulation-driven solutions in collaboration with cross-functional teams.
Continuously test, validate, and refine simulation models to ensure accuracy, efficiency, and robustness.
Stay at the forefront of AI research, experimenting with cutting-edge technologies and methodologies.
Why Join Simulate?
Be part of a passionate, ambitious startup team tackling meaningful and impactful challenges.
Work closely with seasoned entrepreneurs and technologists.
Thrive in an environment that values initiative, agility, and rapid experimentation.
Taiwan
Japan
Philippines only
Canada only
