Sr. Machine Learning Engineer

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 🎨

• Work with a world-class engineering team pushing the boundaries of content creation on the browser
• Collaborate with our research team to deploy state-of-the-art computer vision models to production
• Improve the performance and efficiency of our machine learning deployments

What you’ll need 💻

• Solid knowledge of at least one machine learning research framework (e.g. PyTorch, Tensorflow), and at least one high-performance inference framework (e.g. TensorRT, Apache TVM)
• Experience profiling and optimizing deep neural networks, including knowledge of GPU profiling tools such as NVIDIA Nsight
• Familiarity with Python-based image and video manipulation/encoding/decoding frameworks, such as OpenCV and PyAV
• Experience with cloud orchestration systems such as Kubernetes and cloud providers such as AWS, GCP, and Azure
• Ability to write robust and maintainable client-server architectures and APIs
• Ability to rapidly prototype solutions and iterate on them with tight product deadlines
• Strong communication, collaboration, and documentation skills

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