ML Data Research Scientist

What you'll do

• Define research topics and data strategies aligned with model performance and product requirements.
• Design and conduct controlled experiments to evaluate how data collection methods affect model convergence.
• Develop new methods to collect, label, and interpret multi-modal human data.
• Establish reliable "ground truth" specifications for complex multi-modal datasets.
• Characterize the statistical limits of sensors, protocols, and annotation pipelines to inform feasibility.
• Execute A/B tests on collection methodologies, sampling strategies, and labeling schemes.
• Translate experimental findings into actionable recommendations for data pipelines and labeling guidelines.
• Drive data collection from concept to production-scale in collaboration with multidisciplinary teams.

What we're looking for

• Bachelor's degree in Computer Science, Machine Learning, Statistics, Neuroscience, or a related field.
• Master's or PhD in Computer Science, Machine Learning, Statistics, Neuroscience, or a related field is preferred.
• Hands-on experience in a data-oriented, experimentation-heavy role supporting ML model development.
• 10 years of relevant industry experience is preferred.
• Experience with multi-modal human data including video, audio, and motion capture.
• Familiarity with human probing/annotation methods and inter-rater reliability techniques.
• Experience designing data collection experiments to evaluate effects on model training and convergence.
• Strong communication skills to present complex technical findings to diverse audiences.