Runway
Posted 79 days agoVerified live 2d ago
Research Engineer, Data Foundations
Brief overview
Remote
4+ yrsMinimum
10 H-1B approvalsDept. of Labor
1 green cardsCertified filings
Machine learningLarge multimodal datasetsGenerative modelsData analysisDataset creationModel trainingModel evaluationPyTorchJAXRayKubernetes
About the company
Runwayrunwayml.com
Runway is a global AI research and technology company building foundational research models and tools to create multimodal world simulators.
Visa sponsorship history
3 years sponsoring, last filed FY2025
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.10H-1B approved
100%approval rate
6new H-1B hires
1PERM certified
$250,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20232
20245
20253
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20232
20241
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20251
Top sponsored roles
Principal Research ScientistSr. Research ScientistChief Technical Officer
Job description
Summary
Runway is a company focused on building AI to simulate the world by merging art and science. The Research Engineer role involves owning the data behind models, designing datasets, running experiments, and building infrastructure to generate and curate data at scale.
Responsibilities
- Design multimodal, multitask datasets that teach world models new capabilities — deciding what data to collect, generate, or curate and measuring its effect on model behavior
- Run controlled training experiments to understand how data composition drives model performance across tasks and domains
- Build and operate large-scale pipelines for synthetic data generation, filtering, and quality control
- Define evaluations and benchmarks that measure whether our models are actually improving at the things that matter
- Partner with product and creative teams to translate target behaviors and capabilities into concrete data strategies
Skills
- 4+ years of experience in machine learning, bonus points for data-centric approaches
- Experience with large multimodal datasets and generative models (video, image, or multimodal)
- Deep intuition for how data composition and quality translate to model capabilities
- Comfort working across the full research stack: data analysis, dataset creation, model training, evaluation, and back again
- Proficiency with at least one ML framework (e.g. PyTorch, JAX) and distributed compute tools (e.g. Ray, Kubernetes)
- Excitement about building AI that simulates the world
Qualifications
Must Haves
- 4+ years of experience in machine learning, bonus points for data-centric approaches
- Experience with large multimodal datasets and generative models (video, image, or multimodal)
- Deep intuition for how data composition and quality translate to model capabilities
- Comfort working across the full research stack: data analysis, dataset creation, model training, evaluation, and back again
- Proficiency with at least one ML framework (e.g. PyTorch, JAX) and distributed compute tools (e.g. Ray, Kubernetes)
- Excitement about building AI that simulates the world
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