Forward Deployed Engineer
我们正在建立人工智能，以通过融合艺术和科学来模拟世界。我们相信世界模型在人工智能的进步的边界上。语言模型本身不会解决世界上最困难的问题 - 机器人，疾病，科学发现。真正的进步需要经历世界并从他们的错误中学习的模型，就像人类一样。这种试验与错误可以在大规模加速当进行模拟时，而不是在现实世界中。世界模型提供了通用模拟的最明确道路，改变故事讲述方式，科学进展如何以及人类接下来的边界如何达到。我们的团队由创造性，开放心态，关怀和雄心勃勃的人组成，他们决心改变世界。我们渴望不断构建不可能的事情，我们的能力依赖于建立一个令人难以置信的团队。如果你被驱动做同样的事情，我们很想听从你。###为什么这很重要 Runway 正在建造 AI 来模拟世界。我们认为世界模型，而不是语言模型，是通用模拟的道路：系统体验世界，从错误中学习，并改变故事讲述的方式，科学如何完成，以及人类如何达到下一边界。应用 AI 是在研究满足客户的最后期限的地方。世界上最大的工作室，品牌和平台都会遇到一个时刻：Runway 不再是演示程序，而是变成了他们真正制作的方式。我们的团队就存在于这个时刻，我们组织在一个问题之内：什么阻碍这位客户从生产中移除，以及如何去除它？####关于角色 这是一个想要拥有问题的角色，而不是帐户的人员的角色。你会坐下世界上最大的工作，品牌，福特100公司，弄清楚他们在与生产之间究竟有什么东西，并构建任何消除它的东西。有些星期这是一个工作流程。一些周是个插件或集成，没有人写过。几周，会有高管们做出决定。你的工作将在屏幕上播放：获奖艾美节目，获得奥斯卡的电影，超级碗广告，人们实际观看的事情。你为一个客户建造的东西往往成为所有人的产品。我们的团队的第一款 Shopify 插件是作为客户阻器而开始了几个星期内进入工程手中。我们把这个团队当作研发人员。
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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.
### Why this matters
Runway is building AI to simulate the world. We think world models, not language models alone, are the path to general-purpose simulation: systems that experience the world, learn from their mistakes, and change how stories get told, how science gets done, and how the next frontiers of humanity are reached.
Applied AI is where that research meets a customer with a deadline. Every one of the world's largest studios, brands, and platforms hits a moment where Runway stops being a demo and becomes the way they actually make things. Our team exists for that moment, and we organize around one question: what's blocking this customer from production, and how do we remove it?
#### About the role
This is a role for people who want to own a problem, not an account. You'll sit with the biggest studios, brands, and Fortune 100 companies in the world, figure out what's actually standing between them and production, and build whatever removes it. Some weeks that's a workflow. Some weeks it's a plugin or an integration nobody has written yet. Some weeks it's getting a room of executives to make a decision they've been putting off.
Your work will be on screen: Emmy-winning shows, Oscar-winning films, Super Bowl commercials, the stuff people actually watch. And the things you build for one customer tend to become product for all of them. Our team's first Shopify plugin started as a customer blocker and was in engineering's hands within a few weeks. We treat this team as R&D for that reason, not as a cost center.
We have offices in NYC, San Francisco, Seattle, and London.
### No two weeks are the same, but you can expect to:
- **Find the real problem:** sit with the creative, technical, and executive teams at a customer, map how they actually work, and locate the blocker between them and production. Usually it's one of three things: a missing integration, an unproven pipeline, or a stakeholder who isn't convinced yet.
- **Build the first of its kind:** the demo that shows a studio head or a Fortune 100 CMO something nobody has shown them before. Working proofs of concept on the customer's own brand, footage, or catalog, often built in a day or two before the meeting, and the best of them become product for everyone.
- **Make it reusable:** turn the one-off that unblocked one customer into the workflow, plugin, or integration the next ten customers start from.
- **Run the evaluation:** own evaluation plans end to end, guide managed trials, build tailored demos on the customer's own footage and brand, and carry the technical side of deal cycles with AEs.
- **Scope deployments that land:** 4–12 week engagements with customer-defined success criteria, a hands-on builder and an executive sponsor on their side from day one, and enough discipline to keep them on scope when the asks start piling up.
- **Get customers to production fast:** take new technical and non-technical customers from signed contract to first production call in days rather than quarters, grow API-only accounts into Platform + API, and fix the onboarding so the support tickets stop coming.
- **Present to anyone:** walk an analyst through a pipeline in the morning and a studio head through a production plan in the afternoon.
- **Bring the field back to the product:** embed with Product, Engineering, and Creative to turn what you saw at the customer into roadmap. Every repeat ask is a product requirement, not a patch.
- **Measure what the customer measures:** time to production, usage before and after a project, what they shipped because you were there. We track our own numbers in Salesforce and the warehouse; you'll own yours.
### What we value
- People who aren't satisfied with surface-level answers and will go into the data, the code, and the room to find the real one
- Low ego: the customer's outcome matters more than who gets the credit
- Comfort with open-ended problems in unstructured environments, and the instinct to create structure instead of waiting for it
- Builders who would rather prototype than debate, and who keep iterating with the customer until it actually works
- Adaptive and introspective: willing to learn, guide, lead, and follow
### What we need
- **You build things that run in production.** Python or TypeScript, APIs, integrations, and data pipelines. Whether you write the code yourself or with coding agents, you can read it, debug it when it breaks, and explain line by line why it's built that way, including to a customer's engineering team. You've shipped something a customer actually ran: a workflow, an integration, a plugin, or an internal tool.
- You've deployed AI or ML systems and integrations inside complex organizations and can point to the outcome, not just the delivery
- You can hold a room of executives and a room of engineers, and translate between the two. Some of those rooms are at the customer, so expect some travel.
- Nice to have: data tooling (SQL, BigQuery, Retool), or experience in media, entertainment, or advertising production
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)