Hire Machine Learning Engineers

Machine learning engineers take models from notebook to production. Our LATAM ML engineers build, deploy and monitor models — including LLM-powered features — on your stack.

  • Works your time zone
  • 8-stage vetting
Machine Learning Engineer working remotely from Latin America

Typical annual cost

U.S. hire

$205,000

Salary + benefits & payroll taxes

Lateam LATAM hire

$57,000

Typical pay for our placements

Save around 72%

U.S.: BLS median wage for this occupation (May 2025) plus benefits and payroll taxes. LATAM: median pay across Lateam placements in this or a closely related role. Not a salary guarantee.

Teams hiring with Lateam

Raw Sugar logo
Five Iron Golf logo
Zumba logo
Bowlero logo
Vega logo

What a machine learning engineer does

Hire remote machine learning engineers from Latin America.

  • Build, train and evaluate machine learning models
  • Deploy models to production and build inference services
  • Design feature pipelines and manage training data
  • Monitor model performance, drift and cost
  • Build LLM and RAG-based product features
  • Partner with product and data teams on use cases

Core skills we test for

  • Python & PyTorch / TensorFlow
  • MLOps & model deployment
  • Feature engineering
  • LLMs, embeddings & RAG
  • Model evaluation & monitoring
  • Cloud ML infrastructure

Tools they work in

PythonPyTorchscikit-learnMLflowAWS SageMakerDockerLangChainGit & GitHub

Hiring machine learning engineers, answered

How quickly can I hire a machine learning engineer?

We typically present a shortlist of fully vetted candidates within 7–10 business days, and most clients make a hire within three weeks of kickoff.

How much does a remote machine learning engineer from Latin America cost?

Most of our machine learning engineers are paid around $57,000 a year, versus roughly $205,000 for a comparable U.S. hire once benefits and payroll taxes are included. That's about 72% less, with no drop in quality.

Will they work in my time zone?

Yes. Every professional we place works your business hours — LATAM overlaps with all U.S. time zones, so there are no overnight handoffs.

How do you vet machine learning engineers?

Eight stages: English proficiency, a real role-specific skills assessment, structured interviews, behavioral assessment, reference checks, background check, internet speed test, and a workspace walkthrough. Roughly 2–3% of applicants pass.

Ready to meet your machine learning engineer?

Book a free 20-minute intro call. We’ll scope the role and send a vetted shortlist within 7–10 days.

Book a free intro call