Job details
Sr. ML Ops Engineer
- Python
- Redux
- Node.js
- AWS
- TypeScript
- React.js
- Kubernetes
- WebGL2
- WebAssembly
- PyTorch
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Posted: 1 year ago
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 looking for a Senior ML Infrastructure Engineer to help us scale our infrastructure and tooling behind the development, testing, and deployment of our machine learning based products. The ideal candidate for this role has experience provisioning large compute clusters for machine learning workflows, has experience supporting teams to create best practices for reliability and scalability, and thrives in fast-paced, high-ownership environment.
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 🎨
- Manage large compute clusters for ML training, inference, and development
- Create tooling and infrastructure that abstract compute and storage in ML development workflows
- Build automation and CI/CD pipelines for developing and deploying new machine learning models
What you’ll need 💻
- 3+ years of experience in a DevOps or Infrastructure Engineer role building machine learning infrastructure and working with large GPU clusters
- Knowledge of cloud providers such as AWS, GCP, or Azure, infrastructure-as-code frameworks such as Terraform, observability tools such as Grafana
- Interest and experience supporting engineering teams in creating robust processes for automation, reliability, and instrumentation
- 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: $150,000-$200,000
Working at Runway 🥳
We are a small and growing team of artists, engineers, researchers, and dreamers working together to reimagine creativity. And we’re building a unique team of talented individuals from diverse backgrounds. We believe that this will allow us to continue to up-level each other, our company, and our product. We’re looking for people that will add to our culture, not just fit in.
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!
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