How to Hire a Machine Learning Engineer (2026)

Hiring a machine learning engineer in the US? Across 3,986 live machine learning engineer postings in the US, the market pays a $203K median salary (typically $175K–$240K). Recruiting from Scratch is the contingency technical recruiting firm for these hires — a 29-day average time to hire, 300+ placements, and a 2M+ candidate network.

What a machine learning engineer does

A machine learning engineer builds, trains, and deploys machine-learning models and the production systems that serve them. Hiring one in the US means competing with the companies below.

What the role requires (from 3,986 live US postings)

What employers actually screen for, aggregated across 3,986 active machine learning engineer postings in the US:

• Experience: typically 5+ years of experience.
• Languages: Python, Java, Scala, Go, Rust.
• Frameworks: Fastapi, Express, React, Flask, Django.
• Most-requested skills: Python, PyTorch, TensorFlow, AWS, GCP, scikit-learn, Azure, Kubernetes.
• Pay: a $203K median salary (typically $175K–$240K), base — equity typically on top.

What machine learning engineers cost in the US

Based on 1,329 machine learning engineer postings in the US that disclose pay. Base only — equity is typically on top.

What the job actually asks you to do

Across the 1,474 machine learning engineer postings in the US that spell out responsibilities:

• 73% include scaling and performance work.
• 37% include cross-functional partnership.
• 28% include architecture and system design.
• 22% include mentoring other engineers.
• 21% include on-call or production ownership.
• 9% include technical strategy and roadmap.

What we're seeing in the market right now

• What the work is: of the 1,894 postings that specify, 86% ML/AI, 7% platform engineering, 2% data engineering, 1% infrastructure, 1% research.
• Work model: 77% of the 1,761 postings that state one are remote or hybrid — the rest are onsite.
• Equity: 27% of machine learning engineer postings in the US mention equity alongside base pay.
• Pay transparency: 33% of these postings disclose a salary range, so the numbers above rest on 1,329 real ranges.
• Concentration: the ten companies below account for 15% of open machine learning engineer roles in the US — you are mostly competing with them.
• What's advertised alongside pay: 30% mention health insurance, 14% PTO, 7% parental leave, 5% a learning budget.

Companies hiring machine learning engineers in the US

The companies with the most live machine learning engineer openings in the US, with what each pays and screens for (medians shown only where at least 3 postings disclose pay):

Who's hiring, by company stage

Where the machine learning engineer demand sits across funding stages, across the 150 companies with the most live openings in the US:

A further 45 of those companies have no funding stage on file and are not shown above.

How to run this search well

• Screen for production ML, not notebooks. Ask what broke after a model shipped — drift, latency, retraining — and who fixed it.
• Separate research from engineering in the loop. Conflating the two is why ML searches stall; decide which one you're actually hiring.
• Move fast on strong candidates. ML supply is the tightest in this market; a week of deliberation is usually a lost hire.

How Recruiting from Scratch hires machine learning engineers

Recruiting from Scratch is a contingency technical recruiting firm — no retainer and no upfront cost, so you pay only when you make a hire. The process: align on the role and must-haves → a curated shortlist of 3–5 genuinely qualified machine learning engineers (not resume volume) → a 29-day average time to hire versus the 49-day industry average → a 90-day replacement guarantee. Backed by 300+ placements, a 2M+ candidate network, and named hires at companies like Decagon and Mercor.

FAQ

A machine learning engineer builds, trains, and deploys machine-learning models and the production systems that serve them.

Across 3,986 live postings in the US, a $203K median salary (typically $175K–$240K) — base only; equity is typically on top. Most postings expect 5+ years of experience.

Depth in the skills these postings require (Python, PyTorch, TensorFlow, AWS, GCP, scikit-learn, Azure, Kubernetes), plus ML fundamentals paired with real production engineering — not just notebooks. Recruiting from Scratch sends a shortlist of 3–5 genuinely qualified candidates, not resume volume.

Related

• How to hire a machine learning engineer in San Francisco
• How to hire a machine learning engineer in New York
• How to hire a machine learning engineer for remote roles
• Engineering salary benchmarks by role
• Best recruiting firms for software engineers, ranked
• Best recruiting agencies in the United States, ranked