Apache TVM, AWS, Azure, Effective communication skills, Google Cloud Platform (GCP), Kubernetes-K8s, Node.js, OpenCV, PyAV, Python Programming, PyTorch, React.js, Redux, TensorFlow, TensorRT, TorchScript
At Runway, we believe everyone has a story to tell. Our mission is to make professional video and content creation accessible to all. We are taking recent advancements in computer graphics, the web, and machine learning to push the boundaries of creativity and in turn, lower the barriers of content creation; unfastening a new wave of storytelling
Over the last three years, we’ve raised funding from top-tier investors including Felicis, Coatue, Lux, and Amplify, all with a team small enough to fit at one (growing) table. Our team consists of creative, open minded, caring and entrepreneurial individuals from all walks of life. We aspire to build incredible things which starts with building an incredible team, so we’d love to hear from you!
About the role
We’re building a next-generation creative tool that enables a new level of interactivity with cloud-based machine learning models. For our tool to be maximally expressive, we’re working to establish a seamless feedback loop between our users and the machine learning models powering Runway’s abilities. It’s not sufficient for our models to be accurate; nor is it enough for our user interface to be beautiful and responsive; we need to ensure that the link between the two is as fast and reliable as possible.
For this reason, we’re looking for a Machine Learning Engineer who can help us create the server-side engine that powers our interactive tools for image and video synthesis. You’ll be working closely with our research and frontend teams to design and build low-latency, high-reliability machine learning deployments. We’re looking for someone who is deeply interested in the intersection of machine learning and systems design, and has extensive experience building web-based real-time server applications.
A peek at our technical stack
The rich UI of our video editing and collaboration tools is powered by Typescript and React/Redux, while the real time compositing and graphics engine behind our interactive preview runs on WebGL2 and WebAssembly. Our video streaming backend components are written in Python, use a lot of FFmpeg/libav and HLS for on-the-fly transcoding, PyTorch and TorchScript for ML inference, and are deployed as containerized services on Kubernetes. Our API endpoints for real-time collaboration and media asset management are written in Typescript and node.js and are deployed as serverless functions on AWS Lambda.
What you’ll do
What you’ll need
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.
Salary range: $165,000-$210,000
At Runway, we believe everyone has a story to tell. Our mission is to make content creation accessible to all. We are taking recent advancements in computer graphics and machine learning to push the boundaries of creativity and in turn, lower the barriers of content creation; unfastening a new wave of storytelling. Over the last three years, we've raised funding from top-tier investors including Coatue, Amplify, Lux, and Compound all with a t