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How to Hire a Machine Learning Engineer in Mountain View (2026)

September 5, 2026

How to Hire a Machine Learning Engineer in Mountain View (2026)

Hiring a machine learning engineer in Mountain View? Across 114 live machine learning engineer postings in Mountain View, the market pays a $238K median salary (typically $195K–$273K). 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 Mountain View means competing with the companies below.

What the role requires (from 114 live Mountain View postings)

What employers actually screen for, aggregated across 114 active machine learning engineer postings in Mountain View:

  • Experience: typically 5+ years of experience.
  • Languages: Python, Java, Go, Go, TypeScript.
  • Frameworks: Django.
  • Most-requested skills: Python, PyTorch, TensorFlow, Java, Go, Kubernetes, data pipelines, feature engineering.
  • Pay: a $238K median salary (typically $195K–$273K), base — equity typically on top.

Companies hiring machine learning engineers in Mountain View

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

CompanyActively hiring
Waymomachine learning engineers in Mountain View
ServiceNowmachine learning engineers in Mountain View
Unity Technologiesmachine learning engineers in Mountain View
NewsBreakmachine learning engineers in Mountain View
Googlemachine learning engineers in Mountain View
Coupangmachine learning engineers in Mountain View
General Motorsmachine learning engineers in Mountain View
X9machine learning engineers in Mountain View
M.AI Unbound, Incmachine learning engineers in Mountain View
Gen Digitalmachine learning engineers in Mountain View
Inworld AImachine learning engineers in Mountain View
Nuromachine learning engineers in Mountain View

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 Mountain View command in 2026?

Across 114 live postings in Mountain View, a $238K median salary (typically $195K–$273K) — 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, Java, Go, Kubernetes, data pipelines, feature engineering), 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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