Machine Learning Engineer Salary: $162K US Median

The 2026 US national median Machine Learning Engineer salary is $162,000 per year. Entry-level (25th percentile) starts at $110,000, while experienced professionals (90th percentile) earn $295,000 or more. Source: BLS Occupational Employment and Wage Statistics, blended with 2026 market data from Levels.fyi, Glassdoor, and Robert Half.

Yes — Machine Learning Engineer salaries grew approximately 520.0% year-over-year, from $26,129 in 2025 to $162,000 in 2026 (+$135,871). This reflects the Technology sector's 2025-2026 wage growth, driven by demand for LLMs and PyTorch.

The 5 highest-paying US cities for Machine Learning Engineers: San Francisco, CA ($251K); Oakland, CA ($227K); New York, NY ($219K); Seattle, WA ($214K); Washington, DC ($211K). Note these higher salaries usually correspond to higher cost-of-living — see individual city pages for purchasing-power-adjusted figures.

Lowest-paying metros for Machine Learning Engineers: Wichita ($138K), El Paso ($138K), Tulsa ($143K). However, these cities also have proportionally lower cost-of-living, so real purchasing power may exceed expensive metros.

ML engineering demand exploded 40%+ in 2025-2026 with the GenAI boom. Frontier labs paying $500K+ for senior roles. BLS projects 40% employment growth from 2024-2034 — much faster than average compared to all US occupations.

The hottest 2026 skills are: LLMs, PyTorch, RAG/fine-tuning, Distributed training, MLOps. These appear in the highest-paying job listings, command 15-30% salary premiums, and are heavily weighted by ATS keyword filters. Adding them to your resume — naturally and in context — significantly improves your match rate.

Master's or PhD preferred (Bachelor's with strong portfolio acceptable). However, the 2026 market increasingly values demonstrable skills, portfolios, and certifications alongside (or in place of) traditional degrees — particularly in Technology. Top recognized credentials: AWS ML Specialty, Google ML Engineer, TensorFlow Developer.

Based on levels.fyi data and what I'm seeing from comparable offers, total compensation for this level is closer to $X base plus equity. Can we close the gap on base or front-load the RSU grant? Key leverage points for Technology: Reference levels.fyi total compensation data for your level (L4/L5/etc.) at comparable companies; Quantify recent shipped impact: latency reduced, revenue driven, on-call incidents resolved; Hold a competing offer (or credible interview pipeline) before the salary conversation. Beyond base salary, negotiate: Sign-on bonus ($25K-$100K is standard at Big Tech), RSU refreshers and accelerated vesting cliffs, Remote/hybrid flexibility and home-office stipend, Annual learning budget and conference allowance.

Major US employers hiring Machine Learning Engineers include: Google, Meta, OpenAI, Anthropic, NVIDIA, Apple, Tesla, Microsoft. Most use ATS software (Workday, Greenhouse, Taleo, iCIMS) to screen resumes — meaning your resume must be ATS-optimized to even reach a human recruiter.

Entry-level (0–1 year) Machine Learning Engineers typically earn around $119,600. By year 2–3, salary climbs to $130,000. With 7–10 years of experience, Machine Learning Engineers earn $250,000 on average. Senior/lead roles (15+ years) reach $272,500 or more.