技术员工，研究工程师
Member of Technical Staff, Research Engineer
我们正在通过融合艺术与科学，构建能够模拟世界的AI。
我们认为世界模型是人工智能进步的前沿。仅靠语言模型无法解决世界上最难的问题——机器人技术、疾病、科学发现。真正的进步需要能够体验世界并从错误中学习的模型，就像人类一样。而这种试错过程在模拟环境中进行时，可以被大幅加速，而不是在现实世界中。
世界模型为通用模拟提供了最清晰的路径，改变故事的讲述方式、科学进步的方式以及人类下一个前沿领域的探索方式。
我们的团队由富有创造力、思维开放、富有同理心且有抱负的人组成，他们致力于改变世界。我们渴望不断创造不可能的事物，而我们实现这一目标的能力依赖于打造一支卓越的团队。如果你也渴望做到这一点，我们期待你的加入。
### **关于该职位**
我们正在寻找研究工程师，为我们的研究计划做出贡献，涵盖多模态基础模型、交互式世界建模和实时生成。该职位高度协作，将涉及我们更广泛研究工作的许多方面，采用全栈方法，涵盖预训练、SFT/RL后训练技术、评估以及将模型投入生产。
### **你将负责**
- 运行实验，教世界模型新的行为——动作跟随、场景操作、相机控制等
- 开发和测试新的数据策略、架构变体和训练技术
- 设计衡量模型能力的评估方法，并利用这些评估推动模型改进
- 将研究原型中的功能带入生产环境，与产品和创意团队合作解决特定应用的缺口
- 参与整个技术栈（数据管道、建模、生产推理）以推进项目
### **你需要具备**
- 4年以上机器学习研究或工程经验
- 熟悉大规模多模态生成模型的架构、训练和推理
- 有构建稳健数据管道的经验，用于预训练和后训练
- 能够在完整的研发技术栈中工作：数据、训练、评估和部署
- 精通至少一种机器学习框架（如PyTorch、JAX），并有大规模分布式训练经验
- 能够上下文理解
查看英文原文
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
### **About the role**
We’re looking for Research Engineers to contribute to our ambitious research agenda spanning multimodal foundational models, interactive world modeling, and real-time generation. This role is highly collaborative and will touch many aspects of our broader research efforts, taking a full-stack approach across pretraining, SFT/RL post-training techniques, evaluation, and bringing models to production.
### **What you’ll do**
- Run experiments to teach world models new behaviors — action following, scene manipulation, camera control, and beyond
- Develop and test new data strategies, architectural variants, and training techniques
- Design evaluations that measure model capabilities, and use them to drive model improvement
- Take features from research prototype to production, collaborating with product and creative teams to address application-specific gaps
- Contribute across the entire stack (data pipelines, modeling, production inference) to move projects forward
### **What you’ll need**
- 4+ years of experience in machine learning research or engineering
- Familiarity with the architecture, training, and inference of large-scale multimodal generative models
- Experience building robust data pipelines for pretraining and post-training
- Comfort working across the full research stack: data, training, evaluation, and deployment
- Proficiency with at least one ML framework (e.g. PyTorch, JAX) and experience with distributed training at scale
- Ability to context-switch quickly and drive projects forward in a fast-moving, ambiguous environment
- Excitement about building AI that simulates the world
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
#### **Working at Runway**
[**Great things come from great teams.**](https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway) **We’d love to hear from you.**
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- [Universal World Simulator](https://runwayml.com/world-simulator.html)
- [GWM-1](https://runwayml.com/research/introducing-runway-gwm-1)
- [Gen-4.5](https://runwayml.com/research/introducing-runway-gen-4.5)
- [General World Models](https://runwayml.com/research/introducing-general-world-models)
- [Robotics SDK](https://runwayml.com/research/introducing-runway-gwm-1#robotics-section)
- [Conversational Real-time Agents](https://runwayml.com/research/introducing-runway-gwm-1#avatars-section)
- [Runway Studios](https://runwayml.com/studios)
We're excited to be recognized as a best place to work:
[Crain's](https://www.crainsnewyork.com/awards/best-places-work-2023) | [InHerSight](https://www.inhersight.com/companies/best/city/new-york-city-ny) | [BuiltIn NYC](https://builtin.com/awards/new-york-city/2024/best-places-to-work) | [INC](https://www.inc.com/best-workplaces/2024)