Runway is building AI to simulate the world — merging art and science. We're a team of researchers, engineers, artists, and designers shipping the models and infrastructure behind a new generation of creative tools.
We're hiring across a lot of teams right now (engineering, research, product, design — see the full list below), but a few we'd especially love to talk to you about:
- Engineering Manager, API — https://jobs.ashbyhq.com/runway-ml/b5d136bb-4143-400b-914a-0ae7377ad8ed - MTS, Backend Engineer, API — https://jobs.ashbyhq.com/runway-ml/8489a08a-f0cf-4418-968c-c7c803d538bc - MTS, Research Engineer — https://jobs.ashbyhq.com/runway-ml/98e4b160-3bbe-4acd-b106-ad75ccc49675 Remote-friendly globally, with offices in NYC, SF, Seattle, London, Tel Aviv, and Tokyo. Full benefits (100% medical/dental/vision for US employees, unlimited PTO, parental leave, learning stipend).Full list of open roles: https://runwayml.com/careers
We are looking for a staff MLE to join the Ads Content Understanding team. This team looks at all of the reddit content in order to understand what people are talking about. We own the knowledge graph for the entire company, and we also produce a number of interpretable signals that are then used either for RAG type products or as features for models. This is a horizontal/platform team, all of our customers are internal, and most of them are within the ads space, but we're doing some interesting things with organic shopping experiences on reddit.
There's a lot of upside to this role, we're still nascent on our 'commercial intent' understanding (think - is this post comparing tokyo vs kyoto, or is this post at a later stage in the trip planning journey, it is comparing hotels in kyoto).
The job posting does a solid job of describing the responsibilities and expectations for this role. It's a mix of modeling, engineering, leadership. Please apply if you think there's a good fit, the ideal candidate has both leadership experience as well as domain experience with content understanding.
Team is roughly split into two pods, knowledge graph (mostly EU eng) and signals (mostly US eng). This would be a TL role for the signals pod, so east coast timezone would have the most overlap with our team and partner teams.
We also have an open Senior MLE headcount for this signals pod, and are expecting more headcount in Q3.
Apply here: https://job-boards.greenhouse.io/reddit/jobs/7851761
You may know us from our open-source roots (Fluentd/Embulk.) We’re an enterprise CDP and agentic experience platform that unifies fragmented customer data from multiple sources and allows for complex marketing workflows. Our engineering team is distributed across Canada, Japan, and the USA.
We need three Staff Engineers (two in Tokyo, one in Vancouver) to act as technical anchors. You’ll be a great fit if you’re a backend/distributed systems engineer who can architect a clean React frontend, or a pure distributed systems specialist happy to collaborate across the full stack.
The roles primarily deal with architecting systems to process and personalize massive marketing datasets in near real time, with a strong emphasis on being able to work cross functionally to deliver best-in-class agentic interactions deeply integrated with our systems.
Our core stack is Rails, Typescript/Lambda, React, and Kotlin.
How to apply:
* Staff Fullstack (Tokyo) https://jobs.treasure.ai/jobs/542524-staff-fullstack-enginee...
* Staff Fullstack (Vancouver) https://jobs.treasure.ai/jobs/615459-staff-fullstack-enginee...
* More roles on our careers page (we are massively hiring): https://jobs.treasure.ai/