Member of Technical Staff, Research Engineer

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

Join a research-forward team building world models to simulate the world using multimodal foundational models. As a Research Engineer, you will run experiments, develop data strategies, design evaluations, and move features from prototype to production across data pipelines, modeling, and production inference, collaborating with product and creative teams in a fully remote, US-based setting.

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FursaFursa
Runway ML
Runway ML
8 months ago

Member of Technical Staff, Research Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 20 hours agoStatus: Live

Job Summary

Join a research-forward team building world models to simulate the world using multimodal foundational models. As a Research Engineer, you will run experiments, develop data strategies, design evaluations, and move features from prototype to production across data pipelines, modeling, and production inference, collaborating with product and creative teams in a fully remote, US-based setting.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key 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

Pay and Benefits

Salary: USD 270,000 - 370,000 annually

Key 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
Experience:4+ yearsMultimodalGenerative modelsWorld models
Skills:CommunicationProblem-solving
Tech Stack:PyTorchJAXDistributed trainingData pipelinesProduction inference

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