Engineering Manager, Machine Learning

Position Overview

• Location Type: Remote
• Job Type: Full-time
• Salary: Based on competitive market rates and experience.

Runway is an applied research company pioneering new tools for human imagination. They are at the forefront of multi-modal AI systems, ensuring that the future of media creation is accessible, controllable, and empowering for creatives. Runway’s mission is to ensure that anyone anywhere can tell their stories.

This role involves leading a new team focused on productionizing new ML-based features to power Runway’s creative tools. The ideal candidate will have experience growing engineering teams and a strong interest in the intersection of machine learning and systems design.

Responsibilities

• Lead a talented Machine Learning (ML) team and push 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 to review and set priority around goals.
• Build a team of skilled engineers from diverse backgrounds.

Requirements

• Experience:
  • 2+ years of experience in a team lead or engineering manager role.
  • 4+ years of industry experience in an engineering and/or research role.
• Technical Skills:
  • Strong background building impactful and novel machine learning projects, ideally with expertise in large scale, distributed training.
  • Experience training diffusion models or Large Language Models (LLM’s) from scratch.
  • Solid knowledge of at least one machine learning framework (e.g., PyTorch, TensorFlow).
• Leadership & Soft Skills:
  • Empathetic and inclusive leadership style.
  • Ability to rapidly prototype solutions and iterate on them with tight product deadlines.
  • Strong communication, collaboration, and documentation skills.

Company Information

Runway strives for recruitment and retention of exceptional talent from diverse backgrounds while ensuring pay equity for our team. Salary ranges are based on competitive market rates, experience, skill level, and internal equity. The provided range is a general expectation, and candidates may be considered outside the outlined experience level, with updated salary ranges communicated accordingly.