#machine learning engineer

We mapped the AI Engineer role from both sides — Skillenai's talent graph and job postings. Who feeds it, where they go next, and why the skills employers ask for don't match what workers list.

Under identical titles, federal and private tech postings ask for different tools — a federal Data Scientist does statistics and reporting where a private one ships Python and experiments — and several modern data roles barely exist as federal jobs.

Fortune today: spring 2026 hiring is broad-based. Jensen Huang: "software engineers are increasing." Both right at the aggregate. Drop a level and our US tech corpus shows tech has roughly two career-entry roles — Software Engineer and Data Analyst — and a longer list of post-experience lateral specializations (MLE, Platform, SRE, Backend).

A new LSE working paper used 243M hire records to argue remote work — not AI — caused the entry-level hiring collapse. We tested the prediction in today's US tech job postings, role by role. Every Bonferroni-significant broken ladder is in an AI-light role.

We scored 222 AI/ML/DS skills on five independent difficulty signals. Out of 222, exactly one scores positive on all five: JAX — Google's numerical-computing library that powers Gemini, Gemma, and parts of Claude.

We analyzed 9,000+ job postings across DS, MLE, AIE, Applied Scientist, and Research Scientist. The popular DS-to-AI Engineer narrative has the geometry backwards: it's the longest jump on the board. The shortest jumps run through the training-flavored half of ML Engineer.

AI Engineer postings mention fine-tuning more than any other role (26.2% vs 18.2% MLE vs 4.9% DS) — but a deep dive into 6,802 jobs shows the technical fine-tuning toolkit (LoRA, RLHF, distillation, post-training) actually lives in ML Engineer postings.

We analyzed 3,277 job postings for Data Scientists, ML Engineers, and AI Engineers across four seniority levels. The biggest compensation jump isn't between mid and senior — it's Senior to Staff, where ML Engineers earn a median $59K more. And most 'hot' AI skills (Generative AI, prompt engineering) disappear as premium drivers once you control for level. Here's the data.

We analyzed 77,735 job postings and found that the Bay Area tech market is statistically distinct from everywhere else. Rest-of-US and non-US skill profiles are indistinguishable for Data Scientists and AI Engineers. Here's what the chi-square tests reveal.

What 3,215 Job Postings Reveal About Skills That Define each role Ask five people the difference between a Data Scientist, ML Engineer, and AI Engineer, and you'll get five different answers. I decided to let the data…