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How to Hire a Machine Learning Engineer (2026)

September 5, 2026

How to Hire a Machine Learning Engineer (2026)

Hiring a machine learning engineer in the US? Across 4,000 live machine learning engineer postings in the US, the market pays a $205K median salary (typically $175K–$250K). 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 4,000 live US postings)

What employers actually screen for, aggregated across 4,000 active machine learning engineer postings in the US:

  • Experience: typically 5+ years of experience.
  • Languages: Python, Java, Scala, Go, Rust.
  • Frameworks: Fastapi, React, Express, Flask, Spring.
  • Most-requested skills: Python, PyTorch, TensorFlow, AWS, GCP, Kubernetes, Azure, scikit-learn.
  • Pay: a $205K median salary (typically $175K–$250K), base — equity typically on top.

Companies hiring machine learning engineers in the US

A sample of the companies with live machine learning engineers openings in the US:

CompanyActively hiring
Applemachine learning engineers in the US
Waymomachine learning engineers in the US
Capital Onemachine learning engineers in the US
BJAKmachine learning engineers in the US
Adobemachine learning engineers in the US
General Motorsmachine learning engineers in the US
Unity Technologiesmachine learning engineers in the US
Reddit Incmachine learning engineers in the US
Hire Feedmachine learning engineers in the US
ServiceNowmachine learning engineers in the US
Warner Bros Discoverymachine learning engineers in the US
Rokumachine learning engineers in the US

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

What does a machine learning engineer do?

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

What salary does a machine learning engineer in the US command in 2026?

Across 4,000 live postings in the US, a $205K median salary (typically $175K–$250K) — base only; equity is typically on top. Most postings expect 5+ years of experience.

What should you look for when hiring a machine learning engineer?

Depth in the skills these postings require (Python, PyTorch, TensorFlow, AWS, GCP, Kubernetes, Azure, scikit-learn), 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.

How does Recruiting from Scratch hire machine learning engineers?

On a contingency model — no retainer, no upfront cost, pay only on a hire — with a 29-day average time to hire (industry average 49 days), a 90-day replacement guarantee, and named hires at companies like Decagon and Mercor.

Related

Recruiting from Scratch also publishes salary benchmarks and recruiting-firm rankings for machine learning engineers.

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