Research Member of Technical Staff - Data & Evaluation

About the Company

Rhoda AI is building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots.

Responsibilities

• Design and implement scalable curation pipelines for web-scale video pretraining data
• Develop video-specific annotation frameworks and quality filters
• Build evaluation frameworks and benchmarks to measure causal video model capabilities
• Research and implement data selection, mixing, and weighting strategies
• Deploy and scale vision-language models (VLMs) and video understanding models for automated annotation
• Collaborate with pre-training and post-training teams to ensure data quality drives research decisions
• Track model capability trends across training runs

Requirements

• Strong understanding of data-centric ML and web video data quality
• Experience building large-scale video data pipelines
• Familiarity with video-specific data characteristics like temporal structure and motion quality
• Solid ML fundamentals with hands-on experience training or evaluating large generative models
• Ability to design diagnostic, reproducible, and actionable evaluations for video generation models

Preferred Qualifications

• PhD or strong research background in ML, computer vision, or a related field
• Experience with large-scale web video dataset curation (e.g., WebVid, HowTo100M, Ego4D)
• Familiarity with video generation quality metrics (FVD, perceptual quality, motion consistency)
• Experience running VLM or CLIP-style inference at scale
• Prior work on evaluation methodology for video generation or world models
• Publication record at NeurIPS, ICML, ICLR, CVPR, or related venues