Technical Staff Member, Research Engineer

🔥 9 minutes ago

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Runway

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

🤖 Artificial Intelligence

☁️ SaaS

📱 Media

Artificial Intelligence • SaaS • Media

Runway is a company building foundational "Real-World Intelligence" — large models and systems that can understand, simulate and act in the visual world. It offers three main product platforms built on these models: Runway Creative, an all‑in‑one cloud creative suite for generating and editing video, images and audio for individuals and teams; Runway Dev, an AI media platform and API for developers to run models, compose pipelines and trigger workflows; and Runway Robotics, a toolkit for photorealistic simulation, policy inference and synthetic data generation powered by their General World Model (GWM-1). Runway also publishes research (e. g. , GWM-1, Gen-4. 5 video model) and serves both individual creators and enterprise customers.

📋 Description

• Run experiments to teach world models new behaviors — action following, scene manipulation, camera control, and beyond • Develop and test new data strategies, architectural variants, and training techniques • Design evaluations that measure model capabilities, and use them to drive model improvement • Take features from research prototype to production, collaborating with product and creative teams to address application-specific gaps • Contribute across the entire stack (data pipelines, modeling, production inference) to move projects forward

🎯 Requirements

• 4+ years of experience in machine learning research or engineering • Familiarity with the architecture, training, and inference of large-scale multimodal generative models • Experience building robust data pipelines for pretraining and post-training • Comfort working across the full research stack: data, training, evaluation, and deployment • Proficiency with at least one ML framework (e.g. PyTorch, JAX) and experience with distributed training at scale • Ability to context-switch quickly and drive projects forward in a fast-moving, ambiguous environment • Excitement about building AI that simulates the world.

🏖️ Benefits

• Pay equity • Professional development opportunities