Breaking into AI from Academia: A Researcher's Roadmap

Making the jump from academia to industry AI can be smooth with the right approach. ## Translating Your Academic Experience 1. **Reframe your CV for industry** - Focus on impact and results, not just publications - Highlight engineering skills and code - Quantify your research outcomes 2. **Build production skills** - Learn software engineering best practices - Understand MLOps and deployment - Contribute to open source 3. **Target the right roles** - Research Scientist (requires PhD usually) - Applied Scientist (Amazon, Microsoft) - ML Engineer (if you have coding skills) ## Networking Strategies - Attend industry conferences (NeurIPS career fair) - Connect with alumni who made the transition - Publish on arXiv AND write blog posts ## Interview Preparation - Practice coding (LeetCode for ML roles) - Prepare system design answers - Have 2-3 projects on GitHub ready to discuss