Executes a range of research tasks or short-term research initiatives independently
Supports medium to large projects or leads small projects
Influences features or a product team
Applies a solid understanding and practical knowledge of at least one AI research tool/method along with broader research methods and ethical considerations
Strengthens understanding of research approach/topic and collaborates with senior colleagues to design AI research studies integrating understanding of ethical considerations
Monitors and evaluates emerging AI technologies and techniques to address key business challenges
Utilizes specialized tools and frameworks to build, train, debug, and test AI models
Applies the right tools/techniques according to business needs with minimal guidance
Understands technical constraints and limitations of existing tools and frameworks
Participates in the identification and prioritization of research opportunities, and creates and executes research plans
Identifies appropriate AI research techniques and directs the use of structured prediction (e.g., network topologies, computational biology, natural language)
Designs experiments and/or prototypes with the team
Conducts end-to-end experiments and iterates on results/analysis
Synthesizes data and generates insight statements and design recommendations in share-outs or reports
Uncovers basic themes and starts to create meta-analysis
Drafts and structures comprehensible presentations
Delivers and explains research findings, methods, and conclusions to team members and stakeholders
Participates in cross-functional sessions with multiple stakeholders
Coordinates and contributes to literature reviews, research science reports, academic papers, and analysis on topics and methodology
Shares findings through write-ups or presentations
Engages with either internal or external AI community through publications, talks, or discussions