Requirements

Nice to Haves

Experience with machine learning fundamentals and frameworks (scikit-learn, PyTorch)
BS/MS in Computer Science, Data Engineering, or related technical field, or 3 years of equivalent work experience
Experience exploring and analyzing large-scale datasets for ML applications
Experience with dataset curation, quality assessment, and bias detection methodologies
Experience building data collection tools or working with crowd annotation platforms
Experience designing data augmentation pipelines
Experience with data visualization libraries and creating dashboards for dataset analysis and ML metrics
Experience with model development or LLM fine-tuning pipelines
Experience working with creators, audio/video production, or creative software applications

Working directly with large-scale datasets to explore characteristics and evaluate quality
Maintaining datasets throughout the ML development lifecycle for LLM workflows
Designing and building web-based tools supporting data collection, model evaluation, and result visualization
Developing APIs and data pipelines connecting data collection tools with ML training infrastructure
Utilizing Python skills for data analysis and web development

Bring passion and dedication to your job, and there's no telling what you could accomplish
Empower millions of writers, musicians, filmmakers, photographers, designers, and creators worldwide
Work closely with machine learning engineers to ensure data quality and curation needs are met
Create web-based tools for data collection, evaluation, and visualization systems
Develop and deploy LLM workflows while maintaining high standards for quality, performance, and creative ethics