Data Scientist vs ML Engineer: Which to Hire

Data scientist and machine learning engineer collaborating over a laptop in a modern office

By Tom Kenaley, Senior Partner and President, KORE1 A data scientist finds what your data can tell you. An ML engineer makes that finding run in production at scale. One hands back insight and a prototype model, the other ships a system that stays accurate under real traffic. Both write Python. Same language, sure. Only … Read more

How to Hire an AI Research Scientist: 2026 Guide

Confident AI research scientist standing in a modern technology office

By Gregg Flecke, Senior Talent Acquisition Partner, KORE1 An AI research scientist in 2026 runs $160,000 to $250,000 base for most companies, with frontier-lab total packages past $600,000, and the first question is whether you need a true researcher or an applied scientist wearing the title. That gap is the whole ballgame. Get it wrong … Read more

Generative AI Engineer Salary Guide 2026

Generative AI engineer reviewing colorful AI-generated visuals on dual monitors at a workstation

By Gregg Flecke, Senior Talent Acquisition Partner, KORE1 A generative AI engineer in the U.S. earns roughly $105,000 to $255,000 in base pay in 2026, with lead, multimodal, and model-training specialists clearing $300,000 base and total comp at frontier labs running well past $600,000. That spread is wide on purpose. One title is doing the … Read more

How to Hire a Chief AI Officer: 2026 Guide

Hiring committee reviewing Chief AI Officer candidate materials during an executive search around a boardroom table

By Mike Carter, Managing Director, KORE1 To hire a Chief AI Officer, decide first whether the seat is a strategist, an operator, or a governance owner, budget $400,000 to $800,000 in total compensation, and plan three to five months for a genuine executive search. That range covers most of the market. It hides the thing … Read more

LLM Engineer Interview Questions 2026

Hiring manager reviewing a printed LLM engineer candidate scorecard and resume at a desk in a modern office

Strong LLM engineer interview questions in 2026 test one thing above all: whether this person can make an unreliable model reliable in production, through grounded retrieval, honest evaluation, cost and latency control, safety, and the judgment to know when not to fine-tune. Most loops still burn their hour on transformer internals and tokenization trivia the … Read more

LLM Engineer Salary Guide 2026

Technology hiring manager reviewing a printed 2026 LLM engineer salary benchmark report at an office desk

By Gregg Flecke, Senior Talent Acquisition Partner, KORE1 An LLM engineer in the U.S. earns $150,000 to $265,000 in base pay in 2026 for most mid-to-senior roles, with lead and staff specialists clearing $300,000 base and total comp at frontier AI labs running past $700,000. That is a huge spread, and it is not careless … Read more

How to Build an AI Team From Scratch 2026

Startup founder at a glass whiteboard planning how to build an AI team from scratch

By Robert Ardell, Co-Founder and Strategic Advisor, KORE1 To build an AI team from scratch, define one concrete problem first, hire a data engineer and a senior AI engineer before any research scientist, and wire the work for production from day one. Most first teams top out at three to five people. The order you … Read more

Agentic AI Engineering Hiring Survey 2026

Hiring manager and engineering director reviewing an agentic AI engineering hiring plan in a modern office

Agentic AI Engineering Hiring Survey 2026: What the Market Is Actually Doing Agentic AI engineering hiring in 2026 is a seller’s market, where demand for engineers who can ship reliable AI agents has outrun a thin talent pool and pushed typical base pay to roughly $185K to $320K. Those bands hold. The fuller picture is … Read more

Best ML Engineer Recruiting Firms 2026

Best ML engineer recruiting firms 2026 ranked by KORE1

KORE1 ranks first among ML engineer recruiting firms in 2026 for its documented 17-day average time-to-hire, 92% 12-month retention rate, and the most granular ML engineering practice on this list — covering production ML engineers, MLOps engineers, LLM engineers, NLP engineers, and AI/ML engineers with named stack screening across PyTorch, TensorFlow, SageMaker, Vertex AI, Kubeflow, … Read more