Rhoda AI

Technology

ResearchScientist/EngineerVideoGenerationModeling

$180–270k ~AI est. Palo Alto, California, United States FULL TIME
The Brief

“Research Scientist / Engineer - Video Generation Modeling at Rhoda AI. Skills: Video generation modeling, Large-scale pre-training, Robot control, Video prediction. Design large-scale causal video generation models. Train large-scale causal video generation models”

Industry & Context.

Technology
Problems you'll solve

Identify high-leverage questions; Cut through noise

What They're Looking For.

Must Have

Large-scale generative modeling background, Hands-on experience training large generative models, Deep understanding of autoregressive modeling, Deep understanding of causal architectures, Deep understanding of scaling behavior, Fluency with modern ML frameworks, Ability to design experiments, Ability to interpret results, Ability to iterate quickly, Research taste, Comfort operating in a fast-moving startup environment

Nice to Have

PhD in ML, CS, Robotics, Equivalent research/industry experience, Publication record at top-tier ML and robotics venues, Prior work on video generation models, Experience with large-scale autoregressive language model pretraining, Experience with scaling autoregressive language models, Familiarity with web-scale video datasets, Familiarity with video data curation pipelines, Prior work connecting video generation to control, Prior work connecting video generation to action prediction, Prior work connecting video generation to robotic learning

What You'll Do.

Design large-scale causal video generation models

Train large-scale causal video generation models

Develop training objectives

Validate training objectives

Develop model architectures

Validate model architectures

Develop data mixtures

Validate data mixtures

Research scaling laws

Research data efficiency

Investigate web video properties

Build systematic evaluations

Measure video generation quality

Measure long-horizon prediction fidelity

Measure downstream robot task performance

Run rigorous ablations

Collaborate with data teams

Collaborate with evaluation teams

Collaborate with post-training teams

Collaborate with training systems teams

Translate research ideas into systems

How You'll Work.

Team & Collaboration

Data teams; Evaluation teams; Post-training teams; Training systems teams

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