Runway Logo

Runway

Research Engineer, Data Foundations

Reposted One Month Ago
Remote
Hiring Remotely in USA
270K-370K Annually
Mid level
Remote
Hiring Remotely in USA
270K-370K Annually
Mid level
Design and curate multimodal, multitask datasets and run controlled training experiments to evaluate how data composition affects world-model performance. Build large-scale synthetic data pipelines, filtering and quality-control systems. Define benchmarks and evaluations, and partner with product and creative teams to translate target behaviors into data strategies that enable simulation-driven AI capabilities.
The summary above was generated by AI

We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.

Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.

About the role

Building general world models — systems that understand and simulate reality across tasks, modalities, and domains — demands training data that is as rich and varied as the real world itself. We’re looking for Research Engineers to own the data behind our models: what they learn from, how well they learn it, and what new capabilities that unlocks. You will design datasets, run modeling experiments, and build the infrastructure to generate and curate data at scale — directly shaping what our models can do, with applications ranging from creative tools to robotics.

What you'll do
  • 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

What you'll need
  • 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

Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.

There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.

Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.

Working at Runway

Great things come from great teams. We’d love to hear from you.

We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.

More about Runway

  • Universal World Simulator

  • GWM-1

  • Gen-4.5

  • General World Models

  • Robotics SDK

  • Conversational Real-time Agents

  • Runway Studios

We're excited to be recognized as a best place to work:

Crain's | InHerSight | BuiltIn NYC | INC

Similar Jobs

13 Minutes Ago
Easy Apply
Remote or Hybrid
Illinois, USA
Easy Apply
90K-129K Annually
Junior
90K-129K Annually
Junior
Cloud • Information Technology • Security • Software • Cybersecurity
The Account Executive will build relationships with executive stakeholders, develop long-term account strategies, collaborate cross-functionally, and advise customers on aligning Zscaler’s cloud security solutions with business goals. The role requires full-cycle software or security sales experience, strategic account planning, customer engagement, and the ability to close new business through direct and channel sales.
Top Skills: Ai ToolsCloud SecuritySaseZscaler Zero Trust Exchange
13 Minutes Ago
Remote
USA
165K-220K Annually
Senior level
165K-220K Annually
Senior level
Cloud • Information Technology • Machine Learning
Lead enterprise eDiscovery and insider-risk investigations by collecting, preserving, analyzing, and reviewing data from cloud infrastructure, endpoints, and repositories. Build AI-powered automation, correlate activity logs into investigative timelines, manage legal holds and governance policies, support digital forensics, and produce structured evidence packages for Security, Legal, HR, and investigative teams.
Top Skills: Ai AutomationCloud Audit LogsData Classification And Labeling TechnologiesDigital Forensics SoftwareEdiscovery PlatformsEs/QlGoPythonSIEMSQL
19 Minutes Ago
Remote
United States
158K-213K Annually
Senior level
158K-213K Annually
Senior level
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Own Dropbox’s customer evidence program, including customer advocacy, case studies, ROI studies, testimonials, peer reviews, and competitive proof. Set editorial standards, direct agency partners, manage the sales content library, deploy evidence into active enterprise deals, and measure its impact on pipeline, win rates, adoption, and sales-cycle velocity. Partner with Sales, Customer Success, Marketing Operations, and product teams to prioritize evidence and report performance.
Top Skills: DeetoDocsendG2HighspotSalesforceSeismic

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account