Member of Technical Staff, Research Engineer

Workman Labs; United States; Híbrido; USD 270 000 - 370 000; Tempo integral

Resumo da oferta

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.

Qualificações

• 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.

Responsabilidades

• 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

Conhecimentos

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

Ferramentas

PyTorch

JAX

Descrição da oferta de emprego

Member of Technical Staff, Research Engineer

Runway is hiring research engineers to train and scale the generative video and world models behind Gen-4.5 and GWM-1.

$270,000 – $370,000 / yr

Location

Remote (US)

Seniority

—

Compared with 15 other Research roles: Common across similar roles Unique to this role

What you'll do

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 Common
• 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

Experience

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