July 25, 2026
Dream job, nightmare comments
Becoming a Research Engineer at a Big LLM Lab
He landed a dream AI job, but the comments say the real grind is surviving the ego and endless hiring maze
TLDR: A writer announced they’d landed a coveted job at AI startup Mistral after 18 months of careful career planning. But readers were far more interested in roasting the endless, messy hiring process — and in mocking the post as self-important, obvious, and accidentally hilarious.
A software worker’s long victory lap about landing a top role at AI company Mistral should have been a neat career success story: 18 months of planning, networking, interview prep, and carefully aiming for a “career-defining” job. Instead, the comment section instantly turned into a brutal talent-show audition for the best eye-roll on the internet. The author says this was a deliberate climb, mixing big-picture career moves with practical interview prep. Readers heard something closer to: welcome to modern tech hiring, where getting a job becomes a part-time job.
The strongest reaction? Exhaustion and skepticism. One commenter boiled the whole thing down to a grim little moral: hiring in tech keeps getting more drawn out every year. Another reader, with 15+ years of experience, said a recent job hunt meant 9 months, around 30 companies, and wildly inconsistent offers — some too low, some surprisingly high, and pay ranging by 3 times. That turned the conversation from one person’s success into a bigger complaint about a hiring system that feels random, bloated, and borderline absurd.
And then came the comedy. One of the funniest drags compared the post to asking Claude, an AI chatbot, to generate a blog template “that shows how minimalist I am.” Ouch. Others questioned whether this was really a “guide” at all, or just a very long way of saying: if you want to do advanced AI work, you should get really good at AI work. In other words, the article wanted to be inspirational. The comments decided it was performance art.
Key Points
- •The author says they signed a research engineer role at Mistral, a foundation model lab described as having more than $1 billion in funding.
- •The article presents the post as a personal account and a follow-up to an earlier essay about becoming an ML engineer from a non-CS STEM background.
- •A key framework in the article is the distinction between tactical career actions, such as interview prep and CV polishing, and strategic actions, such as deep skill-building, networking, and personal brand development.
- •The author says the process of landing the role took about 18 months and began around April 2024 after concluding that their current role lacked a short- or mid-term growth path.
- •The article describes using a professional network to speak with people across big tech, startups, scale-ups, FAANG, and major labs in order to assess learning opportunities, growth trajectories, and role fit.