The ad says“Comfort working across the full research stack: data analysis, dataset creation, model training, evaluation, and back again”
The ad says“Comfort working across the full research stack: data analysis, dataset creation, model training, evaluation, and back again”
The ad says“Proficiency with at least one ML framework (e.g. PyTorch, JAX) and distributed compute tools (e.g. Ray, Kubernetes)”
The ad says“Comfort working across the full research stack: data analysis, dataset creation, model training, evaluation, and back again”
The ad says“Experience with large multimodal datasets and generative models (video, image, or multimodal)”
The ad says“Proficiency with at least one ML framework (e.g. PyTorch, JAX) and distributed compute tools (e.g. Ray, Kubernetes)”
The ad says“Comfort working across the full research stack: data analysis, dataset creation, model training, evaluation, and back again”
The ad says“Experience with large multimodal datasets and generative models (video, image, or multimodal)”
Values
The ad says“Proficiency with at least one ML framework (e.g. PyTorch, JAX) and distributed compute tools (e.g. Ray, Kubernetes)”
The ad says“Proficiency with at least one ML framework (e.g. PyTorch, JAX) and distributed compute tools (e.g. Ray, Kubernetes)”
The ad says“Proficiency with at least one ML framework (e.g. PyTorch, JAX) and distributed compute tools (e.g. Ray, Kubernetes)”
The ad says“Proficiency with at least one ML framework (e.g. PyTorch, JAX) and distributed compute tools (e.g. Ray, Kubernetes)”
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
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
Benefits
100% medical, dental, and vision coverage: We cover 100% of medical, dental and vision for our US employees AND their dependents. Based on the plans selected, we have complimentary mental health benefits and a free One Medical membership
Unlimited days of PTO: We have unlimited PTO with a minimum of 15 days a year. We also have a paid sabbatical program after employees have been with Runway for 3 years and again after 5 years. And of course, we can’t forget about Summer Fridays
401k Matching, 3% matching: Plan for the future! We provide a 3% 401K match for our US based employees
Remote $250 stipend: All of our employees outside of commuting distance to the office, can expense up to $250 per month on co-working spaces, lunch or groceries, and internet connection
Donations supporting our community: Beyond our employees, we have a commitment to our communities. Every quarter, Runway employees choose an organization for the company to support through a donation
Custom setup, tech setup stipend: In addition to the choice of laptop, all employees get a stipend to customize their tech set up as they want
Parental leave for all parents: We offer 16 weeks of fully paid parental leave plus a gradual return to work plan. This coverage is for all parents, regardless of how a child is brought into the family
L&D $600 stipend: We’re investing in our employees’ long term growth by giving every employee $600 per year to spend on their personal or professional development. That means conferences, courses, and books, oh my!
Wellness $600 stipend: We set ambitious goals and work hard to achieve them, so we believe it’s important to invest in employees’ mental and physical health. The $600 annual wellness stipend can be used for anything from therapy sessions to gym memberships
Preferred experience
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
Experience with large multimodal datasets and generative models (video, image, or multimodal)
4+ years of experience in machine learning, bonus points for data-centric approaches
Deep intuition for how data composition and quality translate to model capabilities
