Blog · Career & training

AI engineer salaries 2026

4 min readPublished July 20, 2026Market insight · updated 2026

2026 AI salary benchmark: LLM engineer, MLOps, data scientist, ML engineer. SF vs national, junior vs senior — Ganloss listing data.

US AI salaries keep climbing in 2026, driven by GenAI and LLM production work. Here are ranges seen on Ganloss job posts.

Ranges by role (full-time, annual)

Mid LLM engineer: $165–220k in SF, $140–190k nationally. MLOps: $150–210k. Data scientist: $120–175k. ML engineer: $145–200k. Junior (0–2 years): roughly $25–40k below mid levels.

RoleJuniorMidSenior
LLM engineer$120–150k$165–220k$220–300k+
MLOps$125–155k$150–210k$210–280k
Data scientist$95–120k$120–175k$175–240k

SF vs national markets

SF/Bay Area premiums are often $25–50k for the same level. Fully remote roles sometimes pay national bands; scarce LLM/MLOps profiles can still command coastal packages.

Beyond base pay

Equity is common at scale-ups. Finance and insurance may add 10–20% bonus. Hybrid/remote and PTO are standard perks. Use Ganloss salary tools when negotiating base.

Keep exploring

FAQ

What do junior AI engineers earn in 2026?
Roughly $95–150k base depending on role and city. LLM and MLOps tend to pay at the top of the band early.
Does remote lower AI pay?
Sometimes 5–10% vs on-site in the same city, but many fully remote posts now keep coastal compensation for hard-to-hire skills.

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Sources: US AI/tech market data (2026), Ganloss job listings, public training catalogs.