1 year ago

Research Engineer, Data Foundations

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 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

Website LinkedIn

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Runway ML

1 year ago

Research Engineer, Data Foundations

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

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

Website LinkedIn