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How to Hire a Machine Learning Engineer in New York (2026)

September 5, 2026

How to Hire a Machine Learning Engineer in New York (2026)

Hiring a machine learning engineer in New York? Across 187 live machine learning engineer postings in New York, the market pays a $225K median salary (typically $188K–$260K). 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 New York means competing with the companies below.

What the role requires (from 187 live New York postings)

What employers actually screen for, aggregated across 187 active machine learning engineer postings in New York:

  • Experience: typically 5+ years of experience.
  • Languages: Python, Java, Scala, Go, TypeScript.
  • Frameworks: React, Fastapi, Flutter, Spring_boot, Spring.
  • Most-requested skills: Python, PyTorch, AWS, TensorFlow, data pipelines, Java, GCP, scikit-learn.
  • Pay: a $225K median salary (typically $188K–$260K), base — equity typically on top.

Companies hiring machine learning engineers in New York

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

CompanyActively hiring
Spotifymachine learning engineers in New York
Waymomachine learning engineers in New York
Applemachine learning engineers in New York
Charlie Healthmachine learning engineers in New York
Capital Onemachine learning engineers in New York
ExaCaremachine learning engineers in New York
BNYmachine learning engineers in New York
Jane Streetmachine learning engineers in New York
Scale AImachine learning engineers in New York
Judi Healthmachine learning engineers in New York
FanDuelmachine learning engineers in New York
PhysicsXmachine learning engineers in New York

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 New York command in 2026?

Across 187 live postings in New York, a $225K median salary (typically $188K–$260K) — 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, AWS, TensorFlow, data pipelines, Java, GCP, 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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