internships

Beyond Market Intelligence keeps internships in one place: 3 stories so far. The section currently leads with “Navigating Ethics in AI When Your Internship Conflicts with Your Values”, “From Spreadsheets to AI Assistants: A Principal Scientist's Journey”, and “From Rejection to Next Steps: Navigating Your First AI Paper Submission”. A PhD student in machine learning faces a dilemma that more researchers should talk about openly: an internship offer where the research is compelling, but the company's marketing preys on user insecurities and the… Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every internships story on Beyond Market Intelligence, newest first.

Machine Learning

Navigating Ethics in AI When Your Internship Conflicts with Your Values

A PhD student in machine learning faces a dilemma that more researchers should talk about openly: an internship offer where the research is compelling, but the company's marketing preys on user insecurities and the product itself feels questionable. This isn't just about a summer job. It's about whether exciting work and good supervision can outweigh working for a team whose core values clash with your own.

From Spreadsheets to AI Assistants: A Principal Scientist's Journey
Machine Learning

From Spreadsheets to AI Assistants: A Principal Scientist's Journey

James Gung, a principal applied scientist at AWS, is opening the floor to questions about building AI services like Amazon Bedrock and Lex. His work spans agent evaluation and conversation simulation, and he's offering a candid look at the day-to-day reality behind those systems. It's a useful chance to separate the substance from the job-title noise. For anyone navigating similar roles, his perspective on interviews and career paths is worth exploring, especially when the AI job market feels muddled.

Machine Learning

From Rejection to Next Steps: Navigating Your First AI Paper Submission

A rejection with an average of 2.83 stings, especially when your meta-reviewer saw real value. You are not stuck in a doom loop; you are standing at a strategic fork. The rebuttal silence is frustrating, but it doesn't invalidate the work. For NACL, you must go through ARR again; the previous discussion doesn't carry over. Don't count on the old reviewers. Instead, treat this as a fresh submission: incorporate the feedback, tighten the narrative, and resubmit.