Engineering Manager, Machine Learning
RunwayJoin Runway as an Engineering Manager in Machine Learning
Runway is a pioneering research company at the forefront of multi-modal AI systems, ensuring the future of content creation is accessible, controllable, and empowering for creatives. We are seeking an experienced Engineering Manager to lead a new team focused on productionizing ML-based features for our creative tools.
About the Role
As an Engineering Manager, you will:
- Lead a talented machine learning team, pushing the boundaries of AI-based content creation.
- Collaborate weekly with leadership and the engineering team to review and prioritize goals.
- Build and nurture a team of skilled engineers from diverse backgrounds.
Key Responsibilities
- Manage and grow high-performing engineering teams.
- Design, implement, and improve large-scale distributed machine learning systems.
- Lead impactful and novel machine learning projects.
- Rapidly prototype solutions and iterate on them with tight product deadlines.
What You’ll Need
- 2+ years of experience in a team lead or engineering manager role.
- 4+ years of industry experience in an engineering and/or research role.
- Expertise in at least one machine learning framework (e.g., PyTorch, TensorFlow).
- Empathetic and inclusive leadership style.
- Strong communication, collaboration, and documentation skills.
Working at Runway
We are committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. We strive 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.
If you are passionate about the intersection of machine learning and systems design and want to be part of a team that is reshaping storytelling through AI, we encourage you to apply.
Benefits Extracted with AI
- Competitive salary
- Diverse and inclusive work environment
- Opportunities for professional growth
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