Remote Research Engineer: Scale Generative World Models

Workman Labs; United States; Hybrid; USD 270,000 - 370,000; Full time

Job summary

Runway is seeking a Member of Technical Staff, Research Engineer, to advance generative video and world models from research prototype to production, collaborating with product and creative teams. The role emphasizes experiments, data strategies, and evaluating model capabilities in a fast-moving environment.

Remote (US) work with a market-leading salary for senior ML researchers, offering impact across a wide stack from data to deployment.

Qualifications

• 4+ years of experience in machine learning research or engineering.
• Familiarity with architecture, training, and inference of large-scale multimodal generative models.
• Experience building robust data pipelines for pretraining and post-training.

Responsibilities

• 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

Skills

ML research/engineering experience

Multimodal models familiarity

Distributed training at scale

Fast-moving ambiguous environment

Model evaluation and data strategy

Proficiency with PyTorch

Proficiency with JAX

Tools

PyTorch

JAX

Job description

Runway is seeking a Member of Technical Staff, Research Engineer, to advance generative video and world models from research prototype to production, collaborating with product and creative teams. The role emphasizes experiments, data strategies, and evaluating model capabilities in a fast-moving environment.

Remote (US) work with a market-leading salary for senior ML researchers, offering impact across a wide stack from data to deployment.