We are a global AI research and technology company focused on building Universal Simulation systems. The research we are doing and the tools we are building are maturing rapidly and are quickly becoming the foundation for how we will all soon approach making anything. From images to videos, scripted media to documentaries, graphic design to architecture, interactive games to social media, new forms of learning and the future of entertainment itself. Everyone will be empowered to make anything. There will no longer be any barriers to entry.
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.
*Open to hiring remote across North America and Europe — we also have offices in NYC, San Francisco, Seattle, and London
We’re looking for an Engineering Manager to help manage a new team that is focused on productionizing new ML-based features to power Runway’s set of creative tools. You should have experience growing high-performing engineering teams and be deeply interested in the intersection of machine learning and systems design.
What you’ll do- Lead a talented ML team and keep pushing the boundaries of AI-based content creation
- Develop and deploy state-of-the-art machine learning systems to production
- Work weekly with leadership and the engineering team as a whole to review and set priority around goals
- Build a team of skilled engineers from diverse backgrounds
- 2+ years of experience in a team lead or engineering manager role
- 4+ years of industry experience in an engineering and/or research role
- Strong background building impactful and novel machine learning projects, ideally with expertise in large scale, distributed training
- Experience training diffusion models or LLM's from scratch
- Solid knowledge of at least one machine learning framework (e.g. PyTorch, Tensorflow)
- Empathetic and inclusive leadership style
- 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: $360,000-$440,000
Great things come from great teams. 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
- Runway Research
- Runway's AI Film Festival
- Creative Dialogues Series
- Runway Studios
- Our Behaviors and Company Mission
We're excited to be recognized as a best place to work Crain's | InHerSight | BuiltIn NYC | INC
Top Skills
Similar Jobs
What you need to know about the Boston Tech Scene
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
