Maps how AI researchers move between labs, startups, and open‑source communities. Learn what incentives matter, why benchmarks drive prestige, and how collaboration networks influence research agendas and breakthroughs.
Maintain Professional Relationships: Keeping positive relationships with colleagues and supervisors even when changing positions, as the AI research community is relatively small and interconnected.
Document and Communicate Impact: Clearly articulating the impact and significance of research contributions in ways that resonate with different audiences and career contexts.
Plan Transition Timing: When considering career changes, planning transitions thoughtfully to minimize negative impacts on ongoing projects and professional relationships.
Flexible Career Pathways: Creating organizational structures that can accommodate diverse career goals and interests among research staff.
Competitive Compensation: Maintaining awareness of market compensation trends and adjusting offers accordingly to remain competitive for top talent.
Research Culture Development: Fostering organizational cultures that support research excellence while achieving business objectives.
Alumni Network Maintenance: Maintaining positive relationships with former employees, recognizing that the AI research community benefits from strong professional networks.