Research Engineer, Data Foundations

Runway ML
United States
Workplace: RemoteFull timeUSD 270,000 - 370,000 annuallyFunction: Research & Scientific (R&D)Experience: 4+ yearsSkills: ["Collaboration","Problem-solving","Communication","Attention to detail"]

Research Engineer role focused on building and curating data for world-model AI, designing multimodal datasets, running experiments, and scaling data pipelines. You’ll shape model capabilities by controlling data inputs, evaluating impact, and collaborating with product and creative teams to translate goals into data strategies.

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FursaFursa
Runway ML
Runway ML
1 year ago

Research Engineer, Data Foundations

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Last checked: 3 hours agoStatus: Live

Job Summary

Research Engineer role focused on building and curating data for world-model AI, designing multimodal datasets, running experiments, and scaling data pipelines. You’ll shape model capabilities by controlling data inputs, evaluating impact, and collaborating with product and creative teams to translate goals into data strategies.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key 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

Pay and Benefits

Salary: USD 270,000 - 370,000 annually

Key Requirements

  • •4+ years of experience in machine learning
  • •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)
Experience:4+ yearsAIMachine learningMultimodal
Skills:CollaborationProblem-solvingCommunicationAttention to detail
Tech Stack:PyTorchJAXRayKubernetes

Company Brief

Runway ML
Provides generative AI tools and a creative platform for creators and studios to generate, edit, and collaborate on images, video, and other media using state-of-the-art machine learning models.
Industry: AI & Machine Learning
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: New York, United States
Founded: 2018
WebsiteLinkedIn